Triple

T18102864
Position Surface form Disambiguated ID Type / Status
Subject Michelet E433271 entity
Predicate educatedAt P5 FINISHED
Object Lycée Charlemagne NE NERFINISHED

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: Lycée Charlemagne | Statement: [Michelet, educatedAt, Lycée Charlemagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lycée Charlemagne
Context triple: [Michelet, educatedAt, Lycée Charlemagne]
  • A. Lycée Charlemagne chosen
    Lycée Charlemagne is a prestigious secondary school in Paris, France, known for its rigorous academic programs and notable alumni.
  • B. Lycée Voillaume
    Lycée Voillaume is a French secondary school (lycée) located in the suburban commune of Aulnay-sous-Bois, in the northeastern outskirts of Paris.
  • C. Lycée Chasseloup-Laubat
    Lycée Chasseloup-Laubat was a prominent French colonial secondary school in Phnom Penh, Cambodia, known for educating many members of the country’s political and intellectual elite.
  • D. Lycée Robert Schuman
    Lycée Robert Schuman is a secondary school located in the Limpertsberg district of Luxembourg City, known for its general and technical education programs.
  • E. Lycée Bonaparte
    Lycée Bonaparte is a prestigious French secondary school in Paris historically known for educating notable figures such as poet and Nobel laureate Sully Prudhomme.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb7be948190b4ed4586f731d6f2 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.