Triple

T11592975
Position Surface form Disambiguated ID Type / Status
Subject Toa Baja E274929 entity
Predicate borderedBy P224 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: [Toa Baja, borderedBy, Cataño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cataño
Context triple: [Toa Baja, borderedBy, 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86f246848190a5b020c3e05d02dd completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.