Triple

T12220780
Position Surface form Disambiguated ID Type / Status
Subject north coast of Puerto Rico E291208 entity
Predicate hasMajorCity P316 FINISHED
Object Hatillo E918538 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: Hatillo | Statement: [north coast of Puerto Rico, hasMajorCity, Hatillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatillo
Context triple: [north coast of Puerto Rico, hasMajorCity, Hatillo]
  • A. Hatillo chosen
    Hatillo is a coastal municipality in northwestern Puerto Rico known for its dairy industry and annual Mask Festival (Festival de las Máscaras).
  • B. Hatillo
    Hatillo is an urban district within the canton of San José in Costa Rica, known for its dense residential neighborhoods and proximity to the capital’s downtown area.
  • C. Hato Viejo
    Hato Viejo is a barrio (district) of the municipality of Arecibo in Puerto Rico, functioning as one of its local administrative and residential communities.
  • D. Hato Corozal
    Hato Corozal is a rural municipality in eastern Colombia known for its cattle ranching and llanero (plains) culture within the Casanare Department.
  • E. Aguas Buenas
    Aguas Buenas is a mountainous municipality in central Puerto Rico known for its cool climate, caves, and scenic rural landscapes.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82a0cf48190a201a533c7387512 completed May 3, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:51 p.m.