Triple

T14172020
Position Surface form Disambiguated ID Type / Status
Subject Masbate Island E351231 entity
Predicate hasMunicipality P847 FINISHED
Object Batuan E915647 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: Batuan | Statement: [Masbate Island, hasMunicipality, Batuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batuan
Context triple: [Masbate Island, hasMunicipality, Batuan]
  • A. Batuan
    Batuan is a small inland town on the Philippine island of Bohol, known as one of the main gateways to the famous Chocolate Hills.
  • B. Batuan chosen
    Batuan is a municipality located in the island province of Masbate in the Philippines, known for its rural communities and agricultural economy.
  • C. Batu
    Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
  • D. Batu
    Batu is a rhythmic and energetic dance piece featured within the traditional Odissi classical dance repertoire of eastern India.
  • E. Batu Gosoh
    Batu Gosoh is a popular scuba diving site in Indonesia’s Bangka Archipelago, known for its rich marine life and underwater scenery.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.