Triple

T17007985
Position Surface form Disambiguated ID Type / Status
Subject Department of Chontales E412621 entity
Predicate hasMunicipality P847 FINISHED
Object Santo Tomás E1238977 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: Santo Tomás | Statement: [Department of Chontales, hasMunicipality, Santo Tomás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Tomás
Context triple: [Department of Chontales, hasMunicipality, Santo Tomás]
  • A. Santo Tomás
    Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
  • B. 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.
  • C. Santo Tomás
    Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
  • 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 Tomas
    Santo Tomas is a landlocked agricultural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3841e48819086dbc383cb4b1c16 completed April 18, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b46e89c81908271eb22b535c558 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:32 a.m.