Triple

T1326282

Position	Surface form	Disambiguated ID	Type / Status
Subject	University of California, Santa Barbara	`E28333`	entity
Predicate	hasCollege	`P113`	FINISHED
Object	College of Letters and Science The College of Letters and Science is UC Santa Barbara’s largest academic division, encompassing a broad range of liberal arts and sciences disciplines for undergraduate and graduate study.	`E151970`	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: College of Letters and Science | Statement: [University of California, Santa Barbara, hasCollege, College of Letters and Science]

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

Target entity: College of Letters and Science
Context triple: [University of California, Santa Barbara, hasCollege, College of Letters and Science]

A. College of Letters and Science
The College of Letters and Science is UC Berkeley’s largest and most academically diverse college, encompassing a wide range of liberal arts, natural sciences, and social science disciplines.
B. College of Letters and Science
The College of Letters and Science is the largest academic division of the University of Wisconsin–Madison, offering a broad range of liberal arts and sciences programs.
C. College of Letters and Science
The College of Letters and Science at the University of California, Davis is the campus’s largest and most diverse academic division, encompassing a broad range of disciplines in the humanities, arts, social sciences, and natural sciences.
D. College of Letters and Science
The College of Letters and Science is UCLA’s largest academic division, encompassing a broad range of undergraduate and graduate programs in the humanities, social sciences, natural sciences, and interdisciplinary studies.
E. College of Literature, Science, and the Arts
The College of Literature, Science, and the Arts is the University of Michigan’s largest and oldest college, offering a broad liberal arts education across the humanities, social sciences, and natural sciences.
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: College of Letters and Science
Triple: [University of California, Santa Barbara, hasCollege, College of Letters and Science]

Generated description

The College of Letters and Science is UC Santa Barbara’s largest academic division, encompassing a broad range of liberal arts and sciences disciplines for undergraduate and graduate study.

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

Target entity: College of Letters and Science
Target entity description: The College of Letters and Science is UC Santa Barbara’s largest academic division, encompassing a broad range of liberal arts and sciences disciplines for undergraduate and graduate study.

A. College of Letters and Science
The College of Letters and Science is UC Berkeley’s largest and most academically diverse college, encompassing a wide range of liberal arts, natural sciences, and social science disciplines.
B. College of Letters and Science
The College of Letters and Science is the largest academic division of the University of Wisconsin–Madison, offering a broad range of liberal arts and sciences programs.
C. College of Letters and Science
The College of Letters and Science at the University of California, Davis is the campus’s largest and most diverse academic division, encompassing a broad range of disciplines in the humanities, arts, social sciences, and natural sciences.
D. College of Letters and Science
The College of Letters and Science is UCLA’s largest academic division, encompassing a broad range of undergraduate and graduate programs in the humanities, social sciences, natural sciences, and interdisciplinary studies.
E. College of Literature, Science, and the Arts
The College of Literature, Science, and the Arts is the University of Michigan’s largest and oldest college, offering a broad liberal arts education across the humanities, social sciences, and natural sciences.
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_69a498540a2481909e807a762280d3ba`	completed	March 1, 2026, 7:49 p.m.
NER	Named-entity recognition	`batch_69a4c19fd2648190932a85eacb3e7ec4`	completed	March 1, 2026, 10:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69acbf3038148190bd945f67e1a619ca`	completed	March 8, 2026, 12:13 a.m.
NEDg	Description generation	`batch_69acbf958b308190874369550420f827`	completed	March 8, 2026, 12:15 a.m.
NED2	Entity disambiguation (via description)	`batch_69acc0c32180819082af905fd56c4b27`	completed	March 8, 2026, 12:20 a.m.

Created at: March 1, 2026, 7:55 p.m.