Triple

T13764171
Position Surface form Disambiguated ID Type / Status
Subject Tarama-jima E330692 entity
Predicate governedBy P46 FINISHED
Object Tarama Village Office E193646 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: Tarama Village Office | Statement: [Tarama-jima, governedBy, Tarama Village Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarama Village Office
Context triple: [Tarama-jima, governedBy, Tarama Village Office]
  • A. Tarama Village chosen
    Tarama Village is a small administrative municipality in Okinawa Prefecture, Japan, encompassing the remote Tarama and Minna islands in the Miyako Island chain.
  • B. Tahkuna village
    Tahkuna village is a small coastal settlement in northern Hiiumaa, Estonia, known for its proximity to the Tahkuna Lighthouse and surrounding natural landscapes.
  • C. Taroa village
    Taroa village is the principal inhabited community on Maloelap Atoll in the Marshall Islands.
  • D. Ooma village
    Ooma village is a small settlement on Banaba Island in the Pacific nation of Kiribati.
  • E. Tewai Village
    Tewai Village is a small settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a862e6808190b8fbb27304212058 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.