Triple

T8236152

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Social Sciences, University of Tehran	`E192411`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Department of Demography, University of Tehran The Department of Demography at the University of Tehran is an academic unit specializing in the study and research of population dynamics, including fertility, mortality, migration, and related social and policy issues.	`E720777`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Department of Demography, University of Tehran | Statement: [Faculty of Social Sciences, University of Tehran, hasDepartment, Department of Demography, University of Tehran]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Department of Demography, University of Tehran
Context triple: [Faculty of Social Sciences, University of Tehran, hasDepartment, Department of Demography, University of Tehran]

A. Faculty of Economics, University of Tehran
The Faculty of Economics, University of Tehran is a leading Iranian academic institution specializing in economics education and research within the country’s oldest and most prestigious university.
B. Higher Institute of Population Studies
The Higher Institute of Population Studies is a specialized academic and research institute at Damascus University focused on demographic, population, and development studies.
C. Institute of Population Studies
The Institute of Population Studies is a research and academic center at Hacettepe University specializing in demographic analysis, population dynamics, and related social science research.
D. Institute of Population Studies
The Institute of Population Studies is a research and teaching unit at the University of Tartu specializing in demography, population dynamics, and related social science analyses.
E. Faculty of Foreign Languages and Literatures, University of Tehran
The Faculty of Foreign Languages and Literatures at the University of Tehran is an academic unit specializing in the teaching and research of multiple world languages, linguistics, and literary studies.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Department of Demography, University of Tehran
Triple: [Faculty of Social Sciences, University of Tehran, hasDepartment, Department of Demography, University of Tehran]

Generated description

The Department of Demography at the University of Tehran is an academic unit specializing in the study and research of population dynamics, including fertility, mortality, migration, and related social and policy issues.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Department of Demography, University of Tehran
Target entity description: The Department of Demography at the University of Tehran is an academic unit specializing in the study and research of population dynamics, including fertility, mortality, migration, and related social and policy issues.

A. Faculty of Economics, University of Tehran
The Faculty of Economics, University of Tehran is a leading Iranian academic institution specializing in economics education and research within the country’s oldest and most prestigious university.
B. Higher Institute of Population Studies
The Higher Institute of Population Studies is a specialized academic and research institute at Damascus University focused on demographic, population, and development studies.
C. Institute of Population Studies
The Institute of Population Studies is a research and academic center at Hacettepe University specializing in demographic analysis, population dynamics, and related social science research.
D. Institute of Population Studies
The Institute of Population Studies is a research and teaching unit at the University of Tartu specializing in demography, population dynamics, and related social science analyses.
E. Faculty of Foreign Languages and Literatures, University of Tehran
The Faculty of Foreign Languages and Literatures at the University of Tehran is an academic unit specializing in the teaching and research of multiple world languages, linguistics, and literary studies.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69ca82dc8f148190a2c75a98501a7b91`	completed	March 30, 2026, 2:04 p.m.
NER	Named-entity recognition	`batch_69cb782a5e18819096235679f5a644a8`	completed	March 31, 2026, 7:30 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cd34fb069c8190965d69fae908482e`	completed	April 1, 2026, 3:08 p.m.
NEDg	Description generation	`batch_69cd37a47f3c81909491e9b0316c32f0`	completed	April 1, 2026, 3:20 p.m.
NED2	Entity disambiguation (via description)	`batch_69cd4ecc8d68819099932b1ecefc0d36`	completed	April 1, 2026, 4:58 p.m.

Created at: March 30, 2026, 5:47 p.m.