Triple

T21009675
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka-Kitakyushu metropolitan area E517511 entity
Predicate hasMajorCity P316 FINISHED
Object Ogori NE NERFINISHED

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: Ogori | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Ogori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogori
Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Ogori]
  • A. Ogori chosen
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • B. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • C. Ogiso
    Ogiso is the traditional title of the early divine kings of the ancient Benin kingdom, ruling the realm known as Igodomigodo before the rise of the Oba dynasty.
  • D. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • E. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.