Triple

T14818031
Position Surface form Disambiguated ID Type / Status
Subject Central Philippine E348369 entity
Predicate hasMember P10 FINISHED
Object Romblomanon E336293 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: Romblomanon | Statement: [Central Philippine, hasMember, Romblomanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romblomanon
Context triple: [Central Philippine, hasMember, Romblomanon]
  • A. Romblomanon chosen
    Romblomanon is an Austronesian language spoken primarily on Romblon Island and nearby areas in the central Philippines.
  • B. Mambajao
    Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
  • C. Malabuyoc
    Malabuyoc is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its hot springs and scenic seaside landscapes.
  • D. Mambusao
    Mambusao is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town community life.
  • E. Lagonglong
    Lagonglong is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.