Triple

T3182536
Position Surface form Disambiguated ID Type / Status
Subject Samar Province E66623 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: [Samar Province, island, Samar Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samar Island
Context triple: [Samar Province, 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bd07888190b680eace8290d821 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48819b284819092e0a8db20d3e3a2 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:06 p.m.