Triple

T4703786
Position Surface form Disambiguated ID Type / Status
Subject Region XII E104339 entity
Predicate hasCity P316 FINISHED
Object Kidapawan 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 | Statement: [Region XII, hasCity, Kidapawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kidapawan
Context triple: [Region XII, hasCity, Kidapawan]
  • A. Kidapawan chosen
    Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
  • B. 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.
  • C. Dinalupihan
    Dinalupihan is a landlocked municipality in the province of Bataan in the Philippines, known for its agricultural economy and strategic location as a gateway between Central Luzon and the Bataan Peninsula.
  • D. Koronadal
    Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
  • E. Pulilan
    Pulilan is a municipality in the province of Bulacan in the Philippines, known for its agricultural economy and the annual Kneeling Carabao Festival honoring San Isidro Labrador.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d082088190b7fc61a487d7ef2f completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c01f036b7881908a555ff18ca5a9af completed March 22, 2026, 4:55 p.m.
Created at: March 20, 2026, 1:17 p.m.