Triple

T3152292
Position Surface form Disambiguated ID Type / Status
Subject Eastern Samar E65903 entity
Predicate island P970 FINISHED
Object Samar Island E64988 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: Samar Island | Statement: [Eastern Samar, island, Samar Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samar Island
Context triple: [Eastern Samar, island, Samar Island]
  • A. Samar Island chosen
    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.
  • B. Panaitan Island
    Panaitan Island is a largely uninhabited island off the western tip of Java, Indonesia, known for its pristine marine ecosystems, world-class surf breaks, and inclusion within the protected Ujung Kulon National Park.
  • C. Samar
    Samar is a surname most notably associated with Sima Samar, an Afghan human rights advocate, physician, and former minister.
  • D. Panay Island
    Panay Island is a major island in the central Philippines known for its historic cities, agricultural production, and as the gateway to the popular beach destination of Boracay.
  • E. Bohol Island
    Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402b6f23081909aea1345a2938113 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:05 p.m.