Triple

T4455422
Position Surface form Disambiguated ID Type / Status
Subject Gernika-Lumo E97708 entity
Predicate twinnedWith P1072 FINISHED
Object Rentería E81781 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: Rentería | Statement: [Gernika-Lumo, twinnedWith, Rentería]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rentería
Context triple: [Gernika-Lumo, twinnedWith, Rentería]
  • A. Rentería chosen
    Rentería (Errenteria) is a town in the Basque province of Gipuzkoa in northern Spain, known for its industrial history and proximity to San Sebastián.
  • B. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • C. La Rinconada
    La Rinconada is a municipality in the province of Seville, Spain, situated just north of the city of Seville in the Andalusia region.
  • D. Alegranza
    Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f79ca481909338dda9f4f7171f completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62822643c8190a0af89f2896fde3e completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.