Triple
T1890025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amakusa Airlines |
E41851
|
entity |
| Predicate | operatesRoute |
P3695
|
FINISHED |
| Object | Kumamoto–Osaka (Itami) |
E199463
|
NE FINISHED |
How this triple was built (2 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: Kumamoto–Osaka (Itami) | Statement: [Amakusa Airlines, operatesRoute, Kumamoto–Osaka (Itami)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumamoto–Osaka (Itami) Context triple: [Amakusa Airlines, operatesRoute, Kumamoto–Osaka (Itami)]
-
A.
Amagasaki
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
-
B.
Kumamoto
chosen
Kumamoto is a major city on Japan’s Kyushu island, known for its historic Kumamoto Castle and role as the capital of Kumamoto Prefecture.
-
C.
Nishinomiya
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
D.
Higashiōsaka
Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
-
E.
Takarazuka
Takarazuka is a Japanese city in Hyōgo Prefecture best known for the all-female Takarazuka Revue theater troupe and its popular hot spring resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb142e41881908fc7335673a9dec3 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf665bd48190b08ff5159333b99b |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.