Triple

T25628670
Position Surface form Disambiguated ID Type / Status
Subject Faculté des sciences de Paris E642510 entity
Predicate followedBy P78 FINISHED
Object Université Paris VII Denis Diderot
Université Paris VII Denis Diderot was a major Parisian public university known for its strong programs in science, medicine, and the humanities, and for its innovative, interdisciplinary approach to research and teaching.
E6965 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: Université Paris VII Denis Diderot | Statement: [Faculté des sciences de Paris, followedBy, Université Paris VII Denis Diderot]
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: Université Paris VII Denis Diderot
Triple: [Faculté des sciences de Paris, followedBy, Université Paris VII Denis Diderot]
Generated description
Université Paris VII Denis Diderot was a major Parisian public university known for its strong programs in science, medicine, and the humanities, and for its innovative, interdisciplinary approach to research and teaching.

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_69e77e7bd4548190a0c691b8a2f27ff1 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fa25423081908a40d12f99afebad completed May 2, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbafcd508190aadd66053104a003 completed May 24, 2026, 8:49 a.m.
NEDg Description generation batch_6a12bc5e92b08190a2a7f60630f6d0ff completed May 24, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a12bcd0c164819098f637afcad01642 completed May 24, 2026, 8:54 a.m.
Created at: April 21, 2026, 5:16 p.m.