Triple

T21009694
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka-Kitakyushu metropolitan area E517511 entity
Predicate hasMajorCity P316 FINISHED
Object Onga
Onga is a town in Fukuoka Prefecture, Japan, situated within the broader Fukuoka-Kitakyushu metropolitan region.
 E1461600 NE FINISHED

How this triple was built (4 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: Onga | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Onga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Onga
Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Onga]
  • A. Ong
    Ong is a common Chinese surname, particularly among Hokkien and Teochew speakers, often representing the Mandarin surname "Wang."
  • B. Onyika
    Onyika is the middle name of Ketanji Brown Jackson, the first Black woman to serve as a U.S. Supreme Court Justice.
  • C. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • D. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Onga
Triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Onga]
Generated description
Onga is a town in Fukuoka Prefecture, Japan, situated within the broader Fukuoka-Kitakyushu metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Onga
Target entity description: Onga is a town in Fukuoka Prefecture, Japan, situated within the broader Fukuoka-Kitakyushu metropolitan region.
  • A. Ong
    Ong is a common Chinese surname, particularly among Hokkien and Teochew speakers, often representing the Mandarin surname "Wang."
  • B. Onyika
    Onyika is the middle name of Ketanji Brown Jackson, the first Black woman to serve as a U.S. Supreme Court Justice.
  • C. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • D. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a093b5e76508190bec3a12c06c18d39 completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093cefdbec81909905a866b99e6c5b completed May 17, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a093d595f44819096effb5bead8713e completed May 17, 2026, 4 a.m.
Created at: April 16, 2026, 1:53 p.m.