Triple
T317281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka International Airport |
E7734
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Amagasaki
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
|
E85802
|
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: Amagasaki | Statement: [Osaka International Airport, locatedNear, Amagasaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amagasaki Context triple: [Osaka International Airport, locatedNear, Amagasaki]
-
A.
Nishinomiya
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
B.
Higashiōsaka
Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
-
C.
Kishiwada
Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
-
D.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
E.
Fukuoka
Fukuoka is a major Japanese city on the northern shore of Kyushu, known as an important economic, cultural, and transportation hub with a busy international port.
- 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: Amagasaki Triple: [Osaka International Airport, locatedNear, Amagasaki]
Generated description
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amagasaki Target entity description: Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
-
A.
Nishinomiya
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
B.
Higashiōsaka
Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
-
C.
Kishiwada
Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
-
D.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
E.
Fukuoka
Fukuoka is a major Japanese city on the northern shore of Kyushu, known as an important economic, cultural, and transportation hub with a busy international port.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea65ca7081908093e6aaaf2d34f7 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6373911408190adfe7fc909c93658 |
completed | March 3, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69a63814e01081909304d6f01374e5a0 |
completed | March 3, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a638b43e748190a809b089c35ab1c9 |
completed | March 3, 2026, 1:26 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.