Triple

T22099489
Position Surface form Disambiguated ID Type / Status
Subject Subanon E546128 entity
Predicate geographicDistribution P2178 FINISHED
Object Zamboanga del Sur NE NERFINISHED

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: Zamboanga del Sur | Statement: [Subanon, geographicDistribution, Zamboanga del Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zamboanga del Sur
Context triple: [Subanon, geographicDistribution, Zamboanga del Sur]
  • A. Zamboanga del Sur chosen
    Zamboanga del Sur is a province in the Philippines located in the Zamboanga Peninsula region on the island of Mindanao.
  • B. Zamboanga del Norte
    Zamboanga del Norte is a province in the Philippines known for its coastal landscapes, diverse cultures, and the city of Dipolog as its capital.
  • C. Zamboanga Sibugay
    Zamboanga Sibugay is a province in the southern Philippines located on the Zamboanga Peninsula in the island of Mindanao.
  • D. Zamboanga District
    Zamboanga District was a former administrative division in the southern Philippines that encompassed the area around present-day Zamboanga City and its surrounding regions.
  • E. South Cotabato
    South Cotabato is a province in the southern Philippines on the island of Mindanao, known for its culturally diverse population, agricultural economy, and scenic highland landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291440048190992c48893ced0b34 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.