Triple

T807479
Position Surface form Disambiguated ID Type / Status
Subject Visayas E17470 entity
Predicate hasPart P35 FINISHED
Object Biliran Island E68645 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: Biliran Island | Statement: [Visayas, hasPart, Biliran Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biliran Island
Context triple: [Visayas, hasPart, Biliran Island]
  • A. Biliran Island chosen
    Biliran Island is a small island province in the Eastern Visayas region of the Philippines known for its coastal landscapes, waterfalls, and predominantly Waray-speaking population.
  • B. Buvuma Island
    Buvuma Island is one of the largest islands in Uganda’s portion of Lake Victoria, known for its fishing communities and tropical landscapes.
  • C. Omelek Island
    Omelek Island is a small atoll in the Marshall Islands that served as SpaceX’s early orbital launch site for its Falcon 1 rocket.
  • 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. Iki Island
    Iki Island is a Japanese island in the Tsushima Strait known for its historic role in Japan–Korea maritime routes, scenic coastlines, and ancient cultural sites.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab23862c8190bfd6558936c58410 completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac598bddf88190afc565deec2357a1 completed March 7, 2026, 4:59 p.m.
Created at: March 1, 2026, 7:38 p.m.