Triple
T2480141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amagasaki Station |
E55794
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Amagasaki |
E85802
|
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: Amagasaki | Statement: [Amagasaki Station, locatedIn, Amagasaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amagasaki Context triple: [Amagasaki Station, locatedIn, Amagasaki]
-
A.
Amagasaki
chosen
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
-
B.
Nishinomiya
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
C.
Kurashiki
Kurashiki is a historic industrial and canal city in Okayama Prefecture, Japan, known for its well-preserved Edo-period merchant quarter and traditional warehouses.
-
D.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
E.
Kashihara
Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd160a9708190b28d2f5538ea129a |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e2d5e3948190961df336430d31f7 |
completed | March 23, 2026, 6:51 a.m. |
Created at: March 6, 2026, 9:45 p.m.