Triple

T7580034
Position Surface form Disambiguated ID Type / Status
Subject Proto-Bisayan E179461 entity
Predicate ancestorOf P369 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: [Proto-Bisayan, ancestorOf, Romblomanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romblomanon
Context triple: [Proto-Bisayan, ancestorOf, 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. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f975bbc08190aec30f902eaea494 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861735c7c81908e2c9fcbb1005ec3 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.