Triple

T21430632
Position Surface form Disambiguated ID Type / Status
Subject Humacao E528674 entity
Predicate hasBarrio P4813 FINISHED
Object Buena Vista 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: Buena Vista | Statement: [Humacao, hasBarrio, Buena Vista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buena Vista
Context triple: [Humacao, hasBarrio, Buena Vista]
  • A. Buena Vista
    Buena Vista is a small city in Marion County, Georgia, known as a rural community in the west-central part of the state.
  • B. Buena Vista
    Buena Vista is a brand name historically used by The Walt Disney Company for its international film distribution and related entertainment operations.
  • C. Buena Vista
    Buena Vista is a small mountain town in central Colorado known for its outdoor recreation, especially whitewater rafting on the Arkansas River and access to the Collegiate Peaks.
  • D. Buena Vista
    Buena Vista is a historic battlefield in northern Mexico best known as the site of a major American victory during the Mexican–American War.
  • E. Buena Vista chosen
    Buena Vista is a barrio (district) within the municipality of Humacao on the eastern coast of Puerto Rico.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813fe2108190a4193f69667fe79e completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.