Triple

T213811
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel Macron E4773 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: [Emmanuel Macron, educatedAt, Sciences Po]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sciences Po
Context triple: [Emmanuel Macron, 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. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • C. 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.
  • D. 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.
  • E. Sorbonne Alliance
    Sorbonne Alliance is a strategic partnership of leading French higher education and research institutions centered around Sorbonne University to foster academic collaboration and international visibility.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c32ae208190a03d504ef43ea659 completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35b636810819085f6c4e658ee578a completed Feb. 28, 2026, 9:17 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.