Triple

T5897254
Position Surface form Disambiguated ID Type / Status
Subject Trinidad E131129 entity
Predicate hasTown P847 FINISHED
Object Diego Martin E212882 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: Diego Martin | Statement: [Trinidad, hasTown, Diego Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diego Martin
Context triple: [Trinidad, hasTown, Diego Martin]
  • A. Diego Martin chosen
    Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
  • B. San Juan de la Maguana
    San Juan de la Maguana is a historic city in the western Dominican Republic known as a regional agricultural center and gateway to the country’s central mountain range.
  • C. Maracay
    Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
  • D. Puerto Plata
    Puerto Plata is a historic coastal city in the Dominican Republic known for its significant Afro-Dominican population, tourism, and role as a major port on the Atlantic coast.
  • E. Guanabacoa
    Guanabacoa is a historic municipality of Havana, Cuba, known for its colonial heritage and strong Afro-Cuban religious and cultural 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f65c1c819084cb90662af6e114 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1080a949c8190a9902f6da45e27a8 completed March 23, 2026, 9:29 a.m.
Created at: March 22, 2026, 3:58 p.m.