Triple

T9823524
Position Surface form Disambiguated ID Type / Status
Subject Aibonito E238594 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Cayey E739815 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: Cayey | Statement: [Aibonito, nearbyMunicipality, Cayey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cayey
Context triple: [Aibonito, nearbyMunicipality, Cayey]
  • A. Cayeyal
    Cayeyal is a rural barrio (district) of the mountainous municipality of Aibonito in Puerto Rico.
  • B. Cayey, Puerto Rico chosen
    Cayey, Puerto Rico is a mountainous municipality in central Puerto Rico known for its scenic landscapes and as the hometown of reggaeton duo Wisin & Yandel.
  • C. Yauco, Puerto Rico
    Yauco, Puerto Rico is a historic municipality in the island’s southwest known for its coffee production, hilly terrain, and colorful urban murals.
  • D. Moca, Puerto Rico
    Moca, Puerto Rico is a small municipality in the western region of Puerto Rico known for its agricultural traditions and inclusion in the island’s coffee-growing area.
  • E. Utuado, Puerto Rico
    Utuado, Puerto Rico is a mountainous inland municipality in the central region of the island known for its coffee production, Taíno archaeological sites, and rural agricultural character.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fb63b7081909cb6faddd795ced6 completed April 9, 2026, 7:05 a.m.
Created at: March 30, 2026, 8:31 p.m.