Triple

T19498398
Position Surface form Disambiguated ID Type / Status
Subject Tigres del Licey E487834 entity
Predicate city P40 FINISHED
Object Santo Domingo 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 Domingo | Statement: [Tigres del Licey, city, Santo Domingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Domingo
Context triple: [Tigres del Licey, city, Santo Domingo]
  • A. Santo Domingo
    Santo Domingo is a major city in Ecuador known as a commercial and transportation hub in the country’s central coastal region.
  • B. Santo Domingo
    Santo Domingo is a major city in central Chile that forms part of the coastal area within the Province of San Antonio.
  • C. Santo Domingo chosen
    Santo Domingo is the capital and largest city of the Dominican Republic, known as one of the oldest continuously inhabited European settlements in the Americas and a major cultural, economic, and political center in the Caribbean.
  • D. Santo Domingo
    Santo Domingo is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural economy and historic churches.
  • E. Santo Domingo
    Santo Domingo is a coastal municipality in the province of Albay in the Bicol Region of the Philippines, known for its black sand beaches and views of Mayon Volcano.
  • 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.