Triple
T38241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Prefecture |
E757
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Kadoma
Kadoma is a city in Japan known as part of the Osaka metropolitan area, featuring a mix of residential neighborhoods and industrial and commercial zones.
|
E486
|
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: Kadoma | Statement: [Osaka Prefecture, hasMajorCity, Kadoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadoma Context triple: [Osaka Prefecture, hasMajorCity, Kadoma]
-
A.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
B.
Gombe Stream Research Centre
Gombe Stream Research Centre is a renowned primatological research station in Tanzania best known as the long-term base for Jane Goodall’s groundbreaking chimpanzee studies.
-
C.
Osaka
Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
-
D.
Livadia
Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
-
E.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
- 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: Kadoma Triple: [Osaka Prefecture, hasMajorCity, Kadoma]
Generated description
Kadoma is a city in Japan known as part of the Osaka metropolitan area, featuring a mix of residential neighborhoods and industrial and commercial zones.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kadoma Target entity description: Kadoma is a city in Japan known as part of the Osaka metropolitan area, featuring a mix of residential neighborhoods and industrial and commercial zones.
-
A.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
B.
Gombe Stream Research Centre
Gombe Stream Research Centre is a renowned primatological research station in Tanzania best known as the long-term base for Jane Goodall’s groundbreaking chimpanzee studies.
-
C.
Osaka
chosen
Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
-
D.
Livadia
Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
-
E.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
- F. None of above.
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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24acd14b48190b80d4329621583df |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e607c5c8190b10af5106685b3c6 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24f2f57fc8190a525ac39c960f082 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fca983c8190a62b8820645d2d2c |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.