Triple

T14090184
Position Surface form Disambiguated ID Type / Status
Subject Cotabato E339106 entity
Predicate hasMunicipality P847 FINISHED
Object Midsayap E281926 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: Midsayap | Statement: [Cotabato, hasMunicipality, Midsayap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midsayap
Context triple: [Cotabato, hasMunicipality, Midsayap]
  • A. Midsayap chosen
    Midsayap is a first-class agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
  • B. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • C. Camalaniugan
    Camalaniugan is a municipality in the province of Cagayan in the Philippines, known for its historic churches and riverside setting along the Cagayan River.
  • D. Lawai
    Lawai is a small unincorporated community on the island of Kauai in Hawaii, known for its rural residential character and proximity to the island’s south shore attractions.
  • E. Hinatuan
    Hinatuan is a coastal municipality in the province of Surigao del Sur in the Philippines, best known for its clear blue Hinatuan Enchanted River.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a7aab88190949cf1fd8e11b050 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.