Triple

T32654413
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Pharmacy, University of Pécs E834821 entity
Predicate governedBy P46 FINISHED
Object Senate of the University of Pécs
The Senate of the University of Pécs is the university’s highest governing and decision-making body, responsible for overseeing its academic, administrative, and strategic affairs.
E2024741 NE FINISHED

How this triple was built (2 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: Senate of the University of Pécs | Statement: [Faculty of Pharmacy, University of Pécs, governedBy, Senate of the University of Pécs]
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: Senate of the University of Pécs
Triple: [Faculty of Pharmacy, University of Pécs, governedBy, Senate of the University of Pécs]
Generated description
The Senate of the University of Pécs is the university’s highest governing and decision-making body, responsible for overseeing its academic, administrative, and strategic affairs.

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_69f3492f72248190ba42fa596aea50e1 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c77a3984819095c21ae913206e94 completed May 3, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bcdc610c8190952509a69e61566c completed June 19, 2026, 3:51 a.m.
NEDg Description generation batch_6a34bd6286888190bd2ca92ea0844ba7 completed June 19, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_6a34bddfc3f0819092aa1782641bd84d completed June 19, 2026, 3:56 a.m.
Created at: May 1, 2026, 1:08 a.m.