Triple
T978178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hanshin earthquake |
E21104
|
entity |
| Predicate | affectedCity |
P10973
|
FINISHED |
| Object | Nishinomiya |
E48319
|
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: Nishinomiya | Statement: [Great Hanshin earthquake, affectedCity, Nishinomiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishinomiya Context triple: [Great Hanshin earthquake, affectedCity, Nishinomiya]
-
A.
Nishinomiya
chosen
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
B.
Amagasaki
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
-
C.
Higashiōsaka
Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
-
D.
Kishiwada
Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
-
E.
Takamatsu
Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b47861808190be56a7bbd926e658 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0555c43348190a99f6d11031417b3 |
completed | March 10, 2026, 5:31 p.m. |
Created at: March 1, 2026, 7:40 p.m.