Triple

T3855657
Position Surface form Disambiguated ID Type / Status
Subject Lapu-Lapu E90007 entity
Predicate placeOfActivity P1527 FINISHED
Object Mactan Island E16099 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: Mactan Island | Statement: [Lapu-Lapu, placeOfActivity, Mactan Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mactan Island
Context triple: [Lapu-Lapu, placeOfActivity, Mactan Island]
  • A. Mactan chosen
    Mactan is a Philippine island historically renowned as the site where Portuguese explorer Ferdinand Magellan was killed in battle in 1521.
  • B. Siquijor Island
    Siquijor Island is a small Philippine island province in the central Visayas region, known for its white-sand beaches, coral reefs, and folklore surrounding mysticism and traditional healing.
  • 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. Masbate Island
    Masbate Island is a large island in the central Philippines known for its cattle ranches, rolling hills, and role as the main island of Masbate Province.
  • E. Balicasag Island
    Balicasag Island is a small coral island off Panglao in Bohol, Philippines, renowned for its pristine beaches and world-class diving and snorkeling sites rich in marine life.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec07d45081909b8f3e35eb710f4c completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.