Triple

T15198239
Position Surface form Disambiguated ID Type / Status
Subject Ticao Island E363193 entity
Predicate languageSpoken P151 FINISHED
Object Masbateño E138031 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: Masbateño | Statement: [Ticao Island, languageSpoken, Masbateño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masbateño
Context triple: [Ticao Island, languageSpoken, Masbateño]
  • A. Masbateño chosen
    Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
  • B. Masbate
    Masbate is an island province in the central Philippines, known for its cattle ranches, rodeo festivals, and location between Luzon and the Visayas.
  • C. Bañuela
    Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
  • D. Balancán
    Balancán is a municipality and town in the state of Tabasco, Mexico, known for its proximity to important Maya archaeological sites and its location near the Usumacinta River.
  • E. Ampudia
    Ampudia is a historic village in Spain’s Castile and León region, noted for its well-preserved medieval architecture and prominent castle.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3342624819087be35acadd88136 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.