Triple

T20027173
Position Surface form Disambiguated ID Type / Status
Subject Chontales E495013 entity
Predicate hasUrbanCenters P11388 FINISHED
Object Santo Tomás NE NERFINISHED

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: Santo Tomás | Statement: [Chontales, hasUrbanCenters, Santo Tomás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Tomás
Context triple: [Chontales, hasUrbanCenters, Santo Tomás]
  • A. Santo Tomás
    Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
  • B. Santo Tomás
    Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
  • C. Santo Tomás
    Santo Tomás is a small settlement within Cuba’s Ciénaga de Zapata region, known for its proximity to extensive wetlands and rich biodiversity.
  • D. Santo Tomás chosen
    Santo Tomás is a municipality in Nicaragua’s Chontales Department, known for its agricultural activities and small-town regional center role.
  • E. Santo Tomás
    Santo Tomás is a municipality in Colombia’s Caribbean region, located within the Atlántico Department and known for its traditional festivals and local agricultural activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628e1eec81908e4c9b2b0b68f0e4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.