Triple

T16882778
Position Surface form Disambiguated ID Type / Status
Subject Jean Hyppolite E421461 entity
Predicate placeOfBirth P1 FINISHED
Object Charente-Maritime E257427 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: Charente-Maritime | Statement: [Jean Hyppolite, placeOfBirth, Charente-Maritime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charente-Maritime
Context triple: [Jean Hyppolite, placeOfBirth, Charente-Maritime]
  • A. Charente-Maritime chosen
    Charente-Maritime is a coastal department in southwestern France known for its Atlantic shoreline, islands, and maritime heritage.
  • B. Mayenne
    Mayenne is a department in northwestern France known for its rural landscapes, historic towns, and location within the former province of Maine.
  • C. Mayenne
    Mayenne is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • D. Maine-et-Loire
    Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
  • E. Tarn-et-Garonne
    Tarn-et-Garonne is a department in the Occitanie region of southern France, known for its agricultural landscapes, historic towns, and location along the Garonne and Tarn rivers.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbdffd8819093f1efd91f6d49dc completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.