Triple

T3294551
Position Surface form Disambiguated ID Type / Status
Subject Raymond Poincaré E69181 entity
Predicate educatedAt P5 FINISHED
Object Faculty of Law of Paris E200396 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: Faculty of Law of Paris | Statement: [Raymond Poincaré, educatedAt, Faculty of Law of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Law of Paris
Context triple: [Raymond Poincaré, educatedAt, Faculty of Law of Paris]
  • A. Faculty of Law of Paris chosen
    The Faculty of Law of Paris was a prestigious French legal school, historically part of the University of Paris, that trained many prominent jurists and political leaders.
  • B. Université Paris 2 Panthéon-Assas
    Université Paris 2 Panthéon-Assas is a prestigious French public university in Paris renowned for its programs in law, political science, economics, and social sciences.
  • C. La Sorbonne
    La Sorbonne is a historic university building in Paris that has long served as a central symbol of French higher education and intellectual life.
  • D. Sciences Po
    Sciences Po is a prestigious French university renowned for its programs in political science, international relations, and social sciences.
  • E. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07661748190bf57469e101c5283 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86b8e04819091f4a4ae6d6a87ad completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.