Triple
T5254244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shin-Kobe Station |
E118659
|
entity |
| Predicate | isStopFor |
P17789
|
FINISHED |
| Object | Mizuho |
E389800
|
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: Mizuho | Statement: [Shin-Kobe Station, isStopFor, Mizuho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mizuho Context triple: [Shin-Kobe Station, isStopFor, Mizuho]
-
A.
Mizuho
chosen
Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
-
B.
Mizuho
Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
-
C.
Nomura
Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
-
D.
Nifty Bank
Nifty Bank is a benchmark stock market index in India that tracks the performance of leading banking sector companies listed on the National Stock Exchange.
-
E.
Mitsui & Co., Ltd.
Mitsui & Co., Ltd. is one of Japan’s largest general trading companies (sōgō shōsha), engaged globally in diverse businesses including energy, metals, machinery, chemicals, food, and infrastructure.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84718f788190ab016ea45878b2a7 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7708108190ac772f7b2d5ab02a |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.