Triple

T23061343
Position Surface form Disambiguated ID Type / Status
Subject Minasbate E574309 entity
Predicate primaryProvince P29620 FINISHED
Object Masbate 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: Masbate | Statement: [Minasbate, primaryProvince, Masbate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masbate
Context triple: [Minasbate, primaryProvince, Masbate]
  • A. Masbate chosen
    Masbate is an island province in the central Philippines, known for its cattle ranches, rodeo festivals, and location between Luzon and the Visayas.
  • B. Masbateño
    Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
  • C. Naguabo
    Naguabo is a coastal municipality on the eastern side of Puerto Rico known for its beaches, fishing traditions, and proximity to El Yunque National Forest.
  • D. Malabago
    Malabago is a barangay (village-level administrative division) within the municipality of Badian in the province of Cebu, Philippines.
  • E. Chamorga
    Chamorga is a small, remote village on the northeastern tip of Tenerife in the Canary Islands, known for its traditional rural character and scenic hiking routes through the surrounding mountains and coastline.
  • 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.