Triple

T16979136
Position Surface form Disambiguated ID Type / Status
Subject Santa Ignacia E411894 entity
Predicate hasBarangay P29835 FINISHED
Object San Vicente unclear NED1 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: San Vicente | Statement: [Santa Ignacia, hasBarangay, San Vicente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Vicente
Context triple: [Santa Ignacia, hasBarangay, San Vicente]
  • A. San Vicente
    San Vicente is a coastal municipality in the Philippine province of Northern Samar known for its island communities and fishing-based local economy.
  • B. San Vicente
    San Vicente is a coastal municipality in Palawan, Philippines, known for its long stretch of white-sand beaches and emerging eco-tourism attractions.
  • C. San Vicente
    San Vicente is a locality within the Municipality of Ensenada in Baja California, Mexico, known for its rural character and agricultural activity.
  • D. San Vicente
    San Vicente is a town in El Salvador historically noted as the place where Central American statesman Dionisio de Herrera died.
  • E. San Vicente
    San Vicente is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its fishing communities and proximity to the historic city of Vigan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.