Triple
T21009660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuoka-Kitakyushu metropolitan area |
E517511
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Onojo
Onojo is a suburban city in Fukuoka Prefecture, Japan, known as part of the greater Fukuoka-Kitakyushu metropolitan area and serving primarily as a residential and commercial hub.
|
E1461590
|
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: Onojo | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Onojo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onojo Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Onojo]
-
A.
Inoniya
Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
-
B.
Ojapo
Ojapo is a town in Okpokwu Local Government Area of Benue State, Nigeria.
-
C.
Onojie
Onojie is the hereditary royal title held by traditional monarchs of the Esan people of Edo State in southern Nigeria.
-
D.
Ojowo
Ojowo is a town within the Ijebu North area of Ogun State in southwestern Nigeria.
-
E.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
- 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: Onojo Triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Onojo]
Generated description
Onojo is a suburban city in Fukuoka Prefecture, Japan, known as part of the greater Fukuoka-Kitakyushu metropolitan area and serving primarily as a residential and commercial hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onojo Target entity description: Onojo is a suburban city in Fukuoka Prefecture, Japan, known as part of the greater Fukuoka-Kitakyushu metropolitan area and serving primarily as a residential and commercial hub.
-
A.
Inoniya
Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
-
B.
Ojapo
Ojapo is a town in Okpokwu Local Government Area of Benue State, Nigeria.
-
C.
Onojie
Onojie is the hereditary royal title held by traditional monarchs of the Esan people of Edo State in southern Nigeria.
-
D.
Ojowo
Ojowo is a town within the Ijebu North area of Ogun State in southwestern Nigeria.
-
E.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
- 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.