Triple

T11341223
Position Surface form Disambiguated ID Type / Status
Subject Davao Occidental E268599 entity
Predicate hasMunicipality P847 FINISHED
Object Sarangani E257340 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: Sarangani | Statement: [Davao Occidental, hasMunicipality, Sarangani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarangani
Context triple: [Davao Occidental, hasMunicipality, Sarangani]
  • A. Sarangani chosen
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • B. Danao
    Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
  • C. Karagawan
    Karagawan is a regional dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
  • D. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • E. Dauis
    Dauis is a coastal municipality on Panglao Island in Bohol, Philippines, known for its historic church, beaches, and proximity to popular dive sites.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5434f04388190813e8beb1b5af55a completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.