Triple

T15620384
Position Surface form Disambiguated ID Type / Status
Subject Province of Burgos E375535 entity
Predicate contains P35 FINISHED
Object City of Burgos E173961 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: City of Burgos | Statement: [Province of Burgos, contains, City of Burgos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Burgos
Context triple: [Province of Burgos, contains, City of Burgos]
  • A. Burgos chosen
    Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
  • B. Burgos
    Burgos is a small coastal municipality on the northern tip of Siargao Island in the Philippines, known for its quiet beaches and surf spots.
  • C. City of Valladolid
    The City of Valladolid is a historic urban center in northwestern Spain known for its rich cultural heritage, universities, and role as the capital of the autonomous community of Castile and León.
  • D. City of Mazarrón
    The City of Mazarrón is a coastal municipality in southeastern Spain known for its Mediterranean beaches, fishing and agricultural economy, and archaeological and mining heritage.
  • E. Gondomar
    Gondomar is a municipality in Portugal’s Porto District, known for its proximity to Porto and its traditional goldsmithing and jewelry industry.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9a95f08190b0013ba1428849d3 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.