Triple

T3481992
Position Surface form Disambiguated ID Type / Status
Subject Navarre E73512 entity
Predicate contains P35 FINISHED
Object Tudela E199395 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: Tudela | Statement: [Navarre, contains, Tudela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tudela
Context triple: [Navarre, contains, Tudela]
  • A. Tudela chosen
    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.
  • B. 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.
  • C. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • D. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • E. Ozurgeti
    Ozurgeti is a city in western Georgia that serves as the administrative and cultural center of the Guria region.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b5086081908ee4491860597557 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.