Triple

T19498286
Position Surface form Disambiguated ID Type / Status
Subject Cibao E487831 entity
Predicate hasMajorCity P316 FINISHED
Object Santiago de los Caballeros 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: Santiago de los Caballeros | Statement: [Cibao, hasMajorCity, Santiago de los Caballeros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago de los Caballeros
Context triple: [Cibao, hasMajorCity, Santiago de los Caballeros]
  • A. Santiago de los Caballeros chosen
    Santiago de los Caballeros is the second-largest city in the Dominican Republic, known as a major cultural, economic, and historical center in the Cibao region.
  • B. Santo Domingo de Heredia
    Santo Domingo de Heredia is a town and canton in Costa Rica known for its colonial architecture, coffee plantations, and location just north of the capital, San José.
  • C. Santo Domingo
    Santo Domingo is a municipality in Nicaragua's Chontales Department, known for its rural character and cattle-raising and agricultural activities.
  • D. Santo Domingo
    Santo Domingo is a municipality in central Cuba’s Villa Clara Province, known for its agricultural economy and rural communities.
  • E. Santo Domingo
    Santo Domingo is a major city in Ecuador known as a commercial and transportation hub in the country’s central coastal region.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63493232881909fc33fb84da3e1b5 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.