Triple

T16060318
Position Surface form Disambiguated ID Type / Status
Subject Benissanet E389590 entity
Predicate hasCapital P204 FINISHED
Object Benissanet E389590 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: Benissanet | Statement: [Benissanet, hasCapital, Benissanet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benissanet
Context triple: [Benissanet, hasCapital, Benissanet]
  • A. Benissanet chosen
    Benissanet is a small municipality in Catalonia, Spain, situated along the Ebro River and known for its agricultural landscape and historic village core.
  • B. Bessan
    Bessan is a commune in southern France, known for its historic village center and wine-producing countryside in the Hérault department.
  • C. Bougros
    Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
  • D. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • E. Samoussy
    Samoussy is a commune in northern France, historically noted as the place where the Frankish king Carloman I died.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837850288190910ef37d6484c600 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47a92608190993fe7f2c5957019 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.