Triple

T5807318
Position Surface form Disambiguated ID Type / Status
Subject Raoul Dufy E128777 entity
Predicate placeOfDeath P21 FINISHED
Object Forcalquier E424695 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: Forcalquier | Statement: [Raoul Dufy, placeOfDeath, Forcalquier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forcalquier
Context triple: [Raoul Dufy, placeOfDeath, Forcalquier]
  • A. Forcalquier chosen
    Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Hautefort
    Hautefort is a historic castle and commune in southwestern France, renowned as the medieval stronghold of the troubadour and nobleman Bertrand de Born.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Feock
    Feock is a coastal village and civil parish in Cornwall, England, known for its scenic setting along the Carrick Roads and its proximity to the city of Truro.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b17417081908779741b9bfbb720 completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0983ded9c8190b37372627c1e3a50 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.