Triple

T14596970
Position Surface form Disambiguated ID Type / Status
Subject Maripipi E342594 entity
Predicate locatedNear P294 FINISHED
Object Leyte Island E32776 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: Leyte Island | Statement: [Maripipi, locatedNear, Leyte Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leyte Island
Context triple: [Maripipi, locatedNear, Leyte Island]
  • A. Leyte chosen
    Leyte is a large island province in the Eastern Visayas region of the Philippines, known for its rich cultural traditions and historical significance, including major World War II events.
  • B. Bohol Island
    Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
  • 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. Samar Island
    Samar Island is a large island in the Eastern Visayas region of the Philippines, known for its rugged terrain, rich biodiversity, and distinct local culture.
  • E. Dinagat Islands
    Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43581348190b5362251c3a89654 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00679214208190a9ee4cce882f59cb completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 1:25 a.m.