Triple

T1666406
Position Surface form Disambiguated ID Type / Status
Subject Southern Tagalog region E36021 entity
Predicate hasIslandGroup P970 FINISHED
Object Romblon Islands E192440 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: Romblon Islands | Statement: [Southern Tagalog region, hasIslandGroup, Romblon Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romblon Islands
Context triple: [Southern Tagalog region, hasIslandGroup, Romblon Islands]
  • A. Romblon chosen
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • B. Batanes Islands
    The Batanes Islands are a remote archipelago in the northern Philippines known for their rugged landscapes, stone houses, and unique Ivatan culture.
  • C. Bohol Island
    Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
  • D. Babuyan Islands
    The Babuyan Islands are a remote volcanic archipelago in the northern Philippines, situated between Luzon and Taiwan and known for their rugged landscapes and rich marine biodiversity.
  • E. Bantayan Island
    Bantayan Island is a scenic island in the central Philippines known for its white-sand beaches, clear waters, and laid-back coastal villages.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adc57cc8190b270004c363768e3 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5b7247c81909224f04af68c3a5d completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:29 p.m.