Triple

T13067964
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Sur E329377 entity
Predicate hasMunicipality P847 FINISHED
Object Sta. Catalina E251862 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: Sta. Catalina | Statement: [Ilocos Sur, hasMunicipality, Sta. Catalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sta. Catalina
Context triple: [Ilocos Sur, hasMunicipality, Sta. Catalina]
  • A. Santa Catalina
    Santa Catalina is a small, remote island in the Solomon Islands’ Makira-Ulawa Province, known for its traditional culture and relatively untouched natural environment.
  • B. Santa Catalina
    Santa Catalina is a municipality and town located in the Bolívar Department of northern Colombia, known for its Caribbean coastal setting and traditional rural character.
  • C. Santa Catalina chosen
    Santa Catalina is a coastal agricultural municipality in the province of Negros Oriental in the Philippines, known for its coconut and sugarcane farming.
  • D. Santa Catalina
    Santa Catalina was a Spanish expedition ship associated with the Santa Cruz colony during the era of New World exploration.
  • E. Santa Catalina
    Santa Catalina is a neighborhood located within the Diez de Octubre municipality of Havana, Cuba.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.