Triple

T8872330
Position Surface form Disambiguated ID Type / Status
Subject Cataño E211189 entity
Predicate hasSpanishName P12773 FINISHED
Object Cataño E211189 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: Cataño | Statement: [Cataño, hasSpanishName, Cataño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cataño
Context triple: [Cataño, hasSpanishName, Cataño]
  • A. Cataño chosen
    Cataño is a small coastal municipality in northern Puerto Rico, known for its waterfront views of Old San Juan and its historic rum distillery.
  • B. Bayamón
    Bayamón is one of the largest and most populous municipalities of Puerto Rico, located just west of San Juan and known as a major commercial and industrial center on the island.
  • C. Santurce
    Santurce is a densely populated and culturally vibrant district of San Juan, Puerto Rico, known for its arts scene, nightlife, and historic neighborhoods.
  • D. Aguas Buenas
    Aguas Buenas is a mountainous municipality in central Puerto Rico known for its cool climate, caves, and scenic rural landscapes.
  • E. Puerto Villamil
    Puerto Villamil is the main port town and population center on Isabela Island in Ecuador’s Galápagos archipelago, known for its laid-back atmosphere and proximity to diverse wildlife and volcanic 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab9e87cc8190ae3c8c683aa0921e completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.