Triple

T3727361
Position Surface form Disambiguated ID Type / Status
Subject Rentería E81781 entity
Predicate basqueName P17751 FINISHED
Object Errenteria E384743 NE FINISHED

How this triple was built (3 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: Errenteria | Statement: [Rentería, basqueName, Errenteria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Errenteria
Context triple: [Rentería, basqueName, Errenteria]
  • A. Errenteria chosen
    Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
  • B. Zarautz
    Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
  • C. Ozurgeti
    Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
  • D. Tudela
    Tudela is a historic city in northern Spain, known for its rich medieval heritage, strategic location along the Ebro River, and distinctive blend of Christian, Muslim, and Jewish cultural influences.
  • E. Orduña
    Orduña is a historic town in the Basque Country of northern Spain, known for its medieval heritage and strategic location along traditional trade routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basqueName
Context triple: [Rentería, basqueName, Errenteria]
  • A. hasBasqueName chosen
    Indicates that an entity is associated with a name expressed in the Basque language.
  • B. hasNameInSpanish
    Indicates that an entity is associated with a specific name expressed in the Spanish language.
  • C. officialNameInSpanish
    Indicates the officially recognized name of an entity when expressed in the Spanish language.
  • D. nameInEsperanto
    Indicates that an entity’s name is expressed in the Esperanto language.
  • E. nameInHungarian
    Indicates that one entity is the Hungarian-language name or designation of another entity.
  • F. None of above.

Provenance (4 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf7a6908190bd0c3bb5c55ab9ee completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f14efc8190bc385ea8ab801771 completed March 14, 2026, 4:32 a.m.
PD Predicate disambiguation batch_69adc0452f5081909c79e114a86cce8c completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.