Triple

T4703785
Position Surface form Disambiguated ID Type / Status
Subject Region XII E104339 entity
Predicate hasCity P316 FINISHED
Object Tacurong E260550 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: Tacurong | Statement: [Region XII, hasCity, Tacurong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacurong
Context triple: [Region XII, hasCity, Tacurong]
  • A. Tacurong chosen
    Tacurong is a component city in the Philippines located in the Soccsksargen region on the island of Mindanao.
  • B. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • C. Kidapawan
    Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
  • D. Masinloc
    Masinloc is a coastal municipality in the province of Zambales in the Philippines, known for its fishing industry and proximity to the disputed Scarborough Shoal in the South China Sea.
  • 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_69be439d76e08190a813957bdb1b44f4 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:17 p.m.