Triple

T2341687
Position Surface form Disambiguated ID Type / Status
Subject Brienne-le-Château E45039 entity
Predicate locatedNear P294 FINISHED
Object Bar-sur-Aube E227207 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: Bar-sur-Aube | Statement: [Brienne-le-Château, locatedNear, Bar-sur-Aube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bar-sur-Aube
Context triple: [Brienne-le-Château, locatedNear, Bar-sur-Aube]
  • A. Bar-sur-Aube chosen
    Bar-sur-Aube is a historic commune in northeastern France known for its medieval heritage and location within the Champagne-producing region.
  • B. Arcis-sur-Aube
    Arcis-sur-Aube is a small commune in northeastern France best known as the birthplace of French Revolutionary leader Georges Danton.
  • C. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • D. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • E. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9622cdb08190835222482bd22cf4 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:52 p.m.