Triple

T17144691
Position Surface form Disambiguated ID Type / Status
Subject Ogijima Lighthouse E416059 entity
Predicate locatedOn P40 FINISHED
Object Ogijima E416059 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: Ogijima | Statement: [Ogijima Lighthouse, locatedOn, Ogijima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogijima
Context triple: [Ogijima Lighthouse, locatedOn, Ogijima]
  • A. Ogijima chosen
    Ogijima is a small inhabited island in Japan’s Seto Inland Sea, known for its traditional fishing village, scenic lighthouse, and contemporary art installations featured in the Setouchi Triennale.
  • B. Kitaiōjima
    Kitaiōjima is the former name of Kita Iōtō, a small volcanic island in the Ogasawara Islands of Japan known for its remote location and military history.
  • C. Unoshima
    Unoshima is a small island located within Lake Kawaguchi, a scenic lake near Mount Fuji in Japan.
  • D. Amakusa
    Amakusa is a group of islands and a city in Kumamoto Prefecture, Japan, known for its coastal scenery, historical Christian heritage, and fishing communities.
  • E. Kiga
    Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d8ca8c81909bba0cd6d60a4776 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415718c88190834fedae7b01ac69 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.