Triple

T14011608
Position Surface form Disambiguated ID Type / Status
Subject Benguet E337091 entity
Predicate borderedBy P224 FINISHED
Object Nueva Vizcaya E298920 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: Nueva Vizcaya | Statement: [Benguet, borderedBy, Nueva Vizcaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nueva Vizcaya
Context triple: [Benguet, borderedBy, Nueva Vizcaya]
  • A. Nueva Vizcaya
    Nueva Vizcaya was a vast province of New Spain in northern Mexico that once encompassed areas now forming several modern states, including Durango.
  • B. Nueva Vizcaya chosen
    Nueva Vizcaya is a landlocked province in the northern Philippines known for its mountainous terrain, agricultural economy, and ethnically diverse population.
  • C. Bulacan
    Bulacan is a province in the Central Luzon region of the Philippines known for its historical significance, cultural heritage, and proximity to Metro Manila.
  • D. Lanao del Norte
    Lanao del Norte is a province in the Philippines located in the Northern Mindanao region, known for its coastal landscapes along Iligan Bay and diverse cultural communities.
  • E. Pampanga
    Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:19 p.m.