Triple

T11802257
Position Surface form Disambiguated ID Type / Status
Subject Surigao del Norte E280654 entity
Predicate hasMunicipality P847 FINISHED
Object San Benito E502814 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 Benito | Statement: [Surigao del Norte, hasMunicipality, San Benito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Benito
Context triple: [Surigao del Norte, hasMunicipality, San Benito]
  • A. San Benito chosen
    San Benito is a small coastal town on Siargao Island in the Philippines, known for its laid-back atmosphere, fishing communities, and access to surfing and island-hopping spots.
  • B. Santa Bárbara
    Santa Bárbara is a locality within the Mexican state of Nueva Vizcaya, historically part of New Spain in the colonial era.
  • C. Santa Bárbara
    Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
  • D. Santa Bárbara
    Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
  • E. San Pedrito
    San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.