Triple

T6830721
Position Surface form Disambiguated ID Type / Status
Subject Badiraguato E157129 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Badiraguato (town) E157129 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: Badiraguato (town) | Statement: [Badiraguato, hasMunicipalSeat, Badiraguato (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badiraguato (town)
Context triple: [Badiraguato, hasMunicipalSeat, Badiraguato (town)]
  • A. Badiraguato chosen
    Badiraguato is a rural municipality in the Mexican state of Sinaloa, known for its mountainous terrain and as the birthplace of several notorious drug cartel figures.
  • B. San Sebastián del Piñal de Caguax
    San Sebastián del Piñal de Caguax is the original colonial-era name of the city now known as Caguas in Puerto Rico.
  • C. Aguadas
    Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
  • D. Morón de la Frontera
    Morón de la Frontera is a town in the province of Seville in southern Spain, known for its historic Andalusian architecture and strategic location near a major Spanish–U.S. military air base.
  • E. Lajeado
    Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62820808190ad3c244893e88699 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fab60708190825876e5715c0cc4 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:18 p.m.