Triple

T1353385
Position Surface form Disambiguated ID Type / Status
Subject François Hollande E28932 entity
Predicate educatedAt P5 FINISHED
Object Sciences Po E26673 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: Sciences Po | Statement: [François Hollande, educatedAt, Sciences Po]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sciences Po
Context triple: [François Hollande, educatedAt, Sciences Po]
  • A. Sciences Po chosen
    Sciences Po is a prestigious French university renowned for its programs in political science, international relations, and social sciences.
  • B. École des hautes études en sciences sociales
    École des hautes études en sciences sociales is a prestigious French graduate institution in Paris renowned for advanced research and teaching in the social sciences and humanities.
  • C. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • D. Université Marc-Bloch
    Université Marc-Bloch was a humanities-focused French university in Strasbourg that later became part of the reconstituted University of Strasbourg.
  • E. Université Paris Cité
    Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26e916c8190b4b324df87f4c121 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d762bb0819092685731269e57c4 completed March 9, 2026, 5:41 a.m.
Created at: March 1, 2026, 7:56 p.m.