Triple

T7862006

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Law, University of Würzburg	`E182520`	entity
Predicate	hasAffiliation	`P467`	FINISHED
Object	University of Würzburg alumni network The University of Würzburg alumni network is an organization that connects former students and graduates of the University of Würzburg, fostering professional networking, lifelong learning, and engagement with the university community.	`E31858`	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: University of Würzburg alumni network | Statement: [Faculty of Law, University of Würzburg, hasAffiliation, University of Würzburg alumni network]

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

Target entity: University of Würzburg alumni network
Context triple: [Faculty of Law, University of Würzburg, hasAffiliation, University of Würzburg alumni network]

A. Bavarian University Network
The Bavarian University Network is a collaborative association of universities in Bavaria, Germany, that coordinates academic, research, and administrative initiatives across its member institutions.
B. University of Würzburg
The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
C. Alliance of Rhine-Main Universities
The Alliance of Rhine-Main Universities is a regional network of leading research universities in Germany’s Rhine-Main area that collaborate closely in teaching, research, and knowledge transfer.
D. Association of Friends and Sponsors of the Goethe University Frankfurt
The Association of Friends and Sponsors of the Goethe University Frankfurt is a support organization that promotes the university’s academic and research activities, including funding prestigious scientific awards.
E. University of Bayreuth
The University of Bayreuth is a public research university in Bayreuth, Germany, known for its interdisciplinary programs and strong emphasis on African studies, law, economics, and the 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: University of Würzburg alumni network
Triple: [Faculty of Law, University of Würzburg, hasAffiliation, University of Würzburg alumni network]

Generated description

The University of Würzburg alumni network is an organization that connects former students and graduates of the University of Würzburg, fostering professional networking, lifelong learning, and engagement with the university community.

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

Target entity: University of Würzburg alumni network
Target entity description: The University of Würzburg alumni network is an organization that connects former students and graduates of the University of Würzburg, fostering professional networking, lifelong learning, and engagement with the university community.

A. Bavarian University Network
The Bavarian University Network is a collaborative association of universities in Bavaria, Germany, that coordinates academic, research, and administrative initiatives across its member institutions.
B. University of Würzburg chosen
The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
C. Alliance of Rhine-Main Universities
The Alliance of Rhine-Main Universities is a regional network of leading research universities in Germany’s Rhine-Main area that collaborate closely in teaching, research, and knowledge transfer.
D. Association of Friends and Sponsors of the Goethe University Frankfurt
The Association of Friends and Sponsors of the Goethe University Frankfurt is a support organization that promotes the university’s academic and research activities, including funding prestigious scientific awards.
E. University of Bayreuth
The University of Bayreuth is a public research university in Bayreuth, Germany, known for its interdisciplinary programs and strong emphasis on African studies, law, economics, and the natural sciences.
F. None of above.

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_69ca82887fd48190975896bf38c4596b`	completed	March 30, 2026, 2:02 p.m.
NER	Named-entity recognition	`batch_69cb36be5f408190b82a097b0825c57a`	completed	March 31, 2026, 2:51 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cb5b4138d081908a5ff16b79f0a0c8`	completed	March 31, 2026, 5:27 a.m.
NEDg	Description generation	`batch_69cb5f1c9ef08190b1b79482f39966c7`	completed	March 31, 2026, 5:43 a.m.
NED2	Entity disambiguation (via description)	`batch_69cb767b198481909cfc1f7a44e6f0d8`	completed	March 31, 2026, 7:23 a.m.

Created at: March 30, 2026, 4:53 p.m.