Triple

T2210071
Position Surface form Disambiguated ID Type / Status
Subject Charles de Gaulle E50893 entity
Predicate constructionSite P6549 FINISHED
Object Brest, France E53827 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: Brest, France | Statement: [Charles de Gaulle, constructionSite, Brest, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest, France
Context triple: [Charles de Gaulle, constructionSite, Brest, France]
  • A. Brest chosen
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • B. Nice, France
    Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
  • C. Bayonne, France
    Bayonne, France is a historic city in southwestern France near the Atlantic coast, known for its Basque culture, medieval old town, and renowned chocolate and cured ham.
  • D. Sochaux, France
    Sochaux, France is an industrial town in eastern France best known as the historic home of the Peugeot automobile manufacturing complex.
  • E. Fontainebleau, France
    Fontainebleau, France is a historic town southeast of Paris best known for its vast forest and royal château, long associated with French monarchs and outdoor recreation.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfce5abc8190b90b92e32045385d completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af84b708190ac3170a343eb107f completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:46 p.m.