Triple
T7814915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansai Airport Station |
E180981
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tajiri, Osaka
Tajiri is a small coastal town in Osaka Prefecture, Japan, known for hosting Kansai International Airport on an artificial island just offshore.
|
E694773
|
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: Tajiri, Osaka | Statement: [Kansai Airport Station, locatedIn, Tajiri, Osaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tajiri, Osaka Context triple: [Kansai Airport Station, locatedIn, Tajiri, Osaka]
-
A.
Hirakata, Osaka
Hirakata, Osaka is a city in northern Osaka Prefecture, Japan, known as a residential and educational hub between Osaka and Kyoto.
-
B.
Kumatori, Osaka
Kumatori, Osaka is a suburban town in Osaka Prefecture, Japan, known for its educational institutions and relatively quiet residential character.
-
C.
Sakai, Osaka
Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
-
D.
Matsuyama
Matsuyama is a major city on Japan’s Shikoku Island, known for its historic Dōgo Onsen hot spring and Matsuyama Castle.
-
E.
Maebashi
Maebashi is the capital city of Gunma Prefecture in Japan, known as a regional administrative and commercial center on the Kantō Plain.
- 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: Tajiri, Osaka Triple: [Kansai Airport Station, locatedIn, Tajiri, Osaka]
Generated description
Tajiri is a small coastal town in Osaka Prefecture, Japan, known for hosting Kansai International Airport on an artificial island just offshore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tajiri, Osaka Target entity description: Tajiri is a small coastal town in Osaka Prefecture, Japan, known for hosting Kansai International Airport on an artificial island just offshore.
-
A.
Hirakata, Osaka
Hirakata, Osaka is a city in northern Osaka Prefecture, Japan, known as a residential and educational hub between Osaka and Kyoto.
-
B.
Kumatori, Osaka
Kumatori, Osaka is a suburban town in Osaka Prefecture, Japan, known for its educational institutions and relatively quiet residential character.
-
C.
Sakai, Osaka
Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
-
D.
Matsuyama
Matsuyama is a major city on Japan’s Shikoku Island, known for its historic Dōgo Onsen hot spring and Matsuyama Castle.
-
E.
Maebashi
Maebashi is the capital city of Gunma Prefecture in Japan, known as a regional administrative and commercial center on the Kantō Plain.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96c009c81909726e1653b6f1348 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb147d965881908003551710a1bbff |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb1732bb608190aa776f23f0dc6189 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a56d25881908b8413b82edf5508 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:39 p.m.