Triple

T23061325
Position Surface form Disambiguated ID Type / Status
Subject Minasbate E574309 entity
Predicate alternativeName P39 FINISHED
Object Masbateño NE NERFINISHED

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: [Minasbate, alternativeName, Masbateño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masbateño
Context triple: [Minasbate, alternativeName, 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. Marinilla
    Marinilla is a small Colombian town in the Eastern Antioquia region known for its colonial architecture, religious traditions, and agricultural economy.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899ff96081908d89a07a3b1065c8 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.