Triple

T4725584
Position Surface form Disambiguated ID Type / Status
Subject Region XIII E104875 entity
Predicate hasIsland P970 FINISHED
Object Siargao Island E117807 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: Siargao Island | Statement: [Region XIII, hasIsland, Siargao Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siargao Island
Context triple: [Region XIII, hasIsland, Siargao Island]
  • A. Siargao Island chosen
    Siargao Island is a renowned Philippine island destination famous for its world-class surfing waves, pristine beaches, and laid-back tropical atmosphere.
  • B. 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.
  • C. Cebu Island
    Cebu Island is a major island in the central Philippines known for its historic city of Cebu, vibrant commerce, and popular beach and dive destinations.
  • D. Bohol Island
    Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
  • E. Sibuyan Island
    Sibuyan Island is a largely forested Philippine island in the Romblon province, renowned for its high endemism and the Mount Guiting-Guiting Natural Park.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6446b42081908e023979c9685730 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77845de88190a93f666d8e9faf00 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:18 p.m.