Triple
T16519722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nōbi Plain |
E401285
|
entity |
| Predicate | majorCityOnPlain |
P83396
|
FINISHED |
| Object |
Ogaki
Ogaki is a Japanese city in Gifu Prefecture known as a regional commercial center and historical castle town in central Honshu.
|
E1526451
|
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: Ogaki | Statement: [Nōbi Plain, majorCityOnPlain, Ogaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogaki Context triple: [Nōbi Plain, majorCityOnPlain, Ogaki]
-
A.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
-
B.
Izumisano
Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
-
C.
Ojiya
Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
-
D.
Kitanagoya
Kitanagoya is a city in central Japan known as a residential and commercial suburb within the Nagoya metropolitan area.
-
E.
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
- 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: Ogaki Triple: [Nōbi Plain, majorCityOnPlain, Ogaki]
Generated description
Ogaki is a Japanese city in Gifu Prefecture known as a regional commercial center and historical castle town in central Honshu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ogaki Target entity description: Ogaki is a Japanese city in Gifu Prefecture known as a regional commercial center and historical castle town in central Honshu.
-
A.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
-
B.
Izumisano
Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
-
C.
Ojiya
Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
-
D.
Kitanagoya
Kitanagoya is a city in central Japan known as a residential and commercial suburb within the Nagoya metropolitan area.
-
E.
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab63e2fd4819096d4267b90f56fff |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab738e6e081909d23bcbcbf3d4abb |
completed | May 18, 2026, 6:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7bb6fbc81909e54be3d1ae98cbf |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 10, 2026, 5:14 a.m.