Triple

T5791182
Position Surface form Disambiguated ID Type / Status
Subject Count of Vermandois E128396 entity
Predicate locatedIn P40 FINISHED
Object Vermandois E474072 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: Vermandois | Statement: [Count of Vermandois, locatedIn, Vermandois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vermandois
Context triple: [Count of Vermandois, locatedIn, Vermandois]
  • A. Picardy
    Picardy is a historical region in northern France known for its strategic location, rich medieval heritage, and significant role in European conflicts.
  • B. Vendômois
    Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
  • C. Champagne-Ardenne
    Champagne-Ardenne was a former administrative region in northeastern France, renowned for its Champagne wine production and historic cities such as Reims and Troyes.
  • D. Soissonnais chosen
    Soissonnais is a historical region in northern France centered around the city of Soissons, known for its early medieval significance and role in the Frankish kingdom.
  • E. Upper Lorraine
    Upper Lorraine was a historical duchy in the Holy Roman Empire, centered in what is now northeastern France and parts of neighboring countries, known for its predominantly German-speaking population and strategic position between France and Germany.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a56c73c81908a1c72c86e474b54 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09820f5c08190811e848eb44ce5b9 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.