Triple
T21378211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu Koyo Line |
E527268
|
entity |
| Predicate | serviceArea |
P82
|
FINISHED |
| Object | city of Nishinomiya |
—
|
NE NERFINISHED |
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: city of Nishinomiya | Statement: [Hankyu Koyo Line, serviceArea, city of Nishinomiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Nishinomiya Context triple: [Hankyu Koyo Line, serviceArea, city of Nishinomiya]
-
A.
Ichinomiya, Hyōgo
Ichinomiya, Hyōgo was a former town in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal consolidation.
-
B.
Minoh, Osaka
Minoh, Osaka is a suburban city in northern Osaka Prefecture, Japan, known for its scenic valley, waterfall, and autumn foliage along the Minoh River.
-
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.
Nishinomiya, Hyōgo Prefecture, Japan
chosen
Nishinomiya, in Hyōgo Prefecture, Japan, is a city in the Kansai region known for its iconic Koshien Stadium and strong baseball culture.
-
E.
Naniwa-ku, Osaka
Naniwa-ku, Osaka is a central ward of Osaka City known for its busy commercial districts, entertainment areas, and major transport hubs such as Namba.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ca5e1c81909b06958459c553dc |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.