Triple

T14695534
Position Surface form Disambiguated ID Type / Status
Subject Province of Ciudad Real E345146 entity
Predicate hasMunicipality P847 FINISHED
Object Tomelloso E799820 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: Tomelloso | Statement: [Province of Ciudad Real, hasMunicipality, Tomelloso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomelloso
Context triple: [Province of Ciudad Real, hasMunicipality, Tomelloso]
  • A. Tomelloso chosen
    Tomelloso is a town in Spain’s Castilla-La Mancha region, known for its extensive wine production and agricultural economy.
  • B. Nocciano
    Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
  • C. Mulazzo
    Mulazzo is a small historic municipality in Tuscany, central Italy, known for its medieval villages and scenic position in the Lunigiana area.
  • D. Tolombón
    Tolombón is an archaeological site in northwestern Argentina associated with the pre-Columbian Calchaquí culture.
  • E. Montignoso
    Montignoso is a municipality in Tuscany, central Italy, known for its coastal location near the Ligurian Sea and its proximity to the Apuan Alps.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58855e081908b38f9515db5677f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18e279c8190814f90e947734541 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.