Triple

T15308491
Position Surface form Disambiguated ID Type / Status
Subject Musée Hyacinthe Rigaud E365966 entity
Predicate ownedBy P347 FINISHED
Object City of Perpignan E164948 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: City of Perpignan | Statement: [Musée Hyacinthe Rigaud, ownedBy, City of Perpignan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Perpignan
Context triple: [Musée Hyacinthe Rigaud, ownedBy, City of Perpignan]
  • A. Perpignan chosen
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • B. citadel of Perpignan
    The citadel of Perpignan is a historic fortified complex in Perpignan, France, that served as a key military stronghold and seat of power for successive rulers of the region.
  • C. City of Pau
    The City of Pau is a commune in southwestern France, known as the historic capital of Béarn and for its scenic location overlooking the Pyrenees.
  • D. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • E. Saint-Girons
    Saint-Girons is a small town in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd001b48190bbdd69337efdb907 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89feda88190b18f6a03d6e968aa completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.