Triple

T4606636
Position Surface form Disambiguated ID Type / Status
Subject Mount Apo E100451 entity
Predicate locatedNear P294 FINISHED
Object Kidapawan City E344343 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: Kidapawan City | Statement: [Mount Apo, locatedNear, Kidapawan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kidapawan City
Context triple: [Mount Apo, locatedNear, Kidapawan City]
  • A. Kidapawan chosen
    Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
  • B. Dapitan City
    Dapitan City is a historic coastal city in the Philippines best known as the place of exile of national hero José Rizal and as a heritage and pilgrimage destination in the Zamboanga Peninsula.
  • C. Balanga City
    Balanga City is a component city in the province of Bataan, Philippines, known for its historical significance in World War II and its role as the provincial capital.
  • D. Kabankalan
    Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
  • E. Pagadian City
    Pagadian City is a coastal city in the southern Philippines that serves as the regional center and administrative hub of the Zamboanga Peninsula.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599c50d08190ab226cd0691e29f9 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc9d292808190bb0213c52393b153 completed March 22, 2026, 10:52 a.m.
Created at: March 20, 2026, 1:12 p.m.