Triple

T544259
Position Surface form Disambiguated ID Type / Status
Subject Champ de Mars E12697 entity
Predicate locatedBetween P1262 FINISHED
Object École Militaire E12110 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: École Militaire | Statement: [Champ de Mars, locatedBetween, École Militaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: École Militaire
Context triple: [Champ de Mars, locatedBetween, École Militaire]
  • A. École Militaire chosen
    École Militaire is a prestigious French military academy in Paris known for training many notable officers, including Napoleon Bonaparte.
  • B. École spéciale militaire de Saint-Cyr
    The École spéciale militaire de Saint-Cyr is France’s premier military academy, responsible for training the country’s elite army officers.
  • C. École navale
    École navale is the French Navy’s prestigious officer training academy, responsible for educating and preparing future naval officers in maritime, military, and engineering disciplines.
  • D. Collège de Vendôme
    Collège de Vendôme is a historic French educational institution in Vendôme, notable for having educated the renowned writer Honoré de Balzac.
  • E. École Polytechnique
    École Polytechnique is a prestigious French grande école and engineering institution renowned for its rigorous scientific education and influential alumni in mathematics, science, and engineering.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 completed March 1, 2026, 11:31 p.m.
Created at: March 1, 2026, 7:32 p.m.