Triple

T7535193
Position Surface form Disambiguated ID Type / Status
Subject King of Navarre E178131 entity
Predicate hasCapital P204 FINISHED
Object Pamplona E151451 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: Pamplona | Statement: [King of Navarre, hasCapital, Pamplona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamplona
Context triple: [King of Navarre, hasCapital, Pamplona]
  • A. Pamplona chosen
    Pamplona is a historic city in northern Spain, best known internationally for its annual Running of the Bulls during the San Fermín festival.
  • B. Pamplona
    Pamplona is a landlocked agricultural municipality in the province of Negros Oriental in the Philippines, known for its hilly terrain and rural communities.
  • C. Bilbao
    Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
  • D. Bilbao
    Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
  • E. Donostia-San Sebastián
    Donostia-San Sebastián is a coastal city in Spain’s Basque Country renowned for its picturesque bay, beaches, and world-class gastronomy.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84c13208190971096a0b81b0ff2 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a204ffc0819096f632f225d290dd completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:47 p.m.