Triple

T21531384
Position Surface form Disambiguated ID Type / Status
Subject Humacao campus E531237 entity
Predicate locatedInMunicipality P40 FINISHED
Object Humacao 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: Humacao | Statement: [Humacao campus, locatedInMunicipality, Humacao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humacao
Context triple: [Humacao campus, locatedInMunicipality, Humacao]
  • A. Humacao chosen
    Humacao is a municipality on the eastern coast of Puerto Rico known for its coastal landscapes, university presence, and role as a regional commercial and cultural center.
  • B. El Osario
    El Osario is a stepped pyramid at the Maya archaeological site of Chichén Itzá, notable for its central staircase and subterranean chamber.
  • C. Pedernales
    Pedernales is a coastal town in northwestern Ecuador known for its beaches and fishing activities.
  • D. Usiacurí
    Usiacurí is a small Colombian town in the Caribbean region known for its traditional handicrafts, especially woven palm products, and its cultural heritage.
  • E. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d08ebf881909574e098404f93fa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.