Triple
T20903321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōzai Line |
E514726
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object | Keihan 800 series |
—
|
NE NERFINISHED |
How this triple was built (3 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: Keihan 800 series | Statement: [Tōzai Line, hasRollingStock, Keihan 800 series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keihan 800 series Context triple: [Tōzai Line, hasRollingStock, Keihan 800 series]
-
A.
Hankyu 8000 series
The Hankyu 8000 series is a Japanese electric multiple unit commuter train type operated by Hankyu Railway in the Kansai region.
-
B.
Tokyo Metro 08 series
The Tokyo Metro 08 series is a Japanese electric multiple unit train type operated by Tokyo Metro on urban commuter services.
-
C.
Tokyo Metro 8000 series
The Tokyo Metro 8000 series is a fleet of electric multiple unit trains introduced in the early 1980s for Tokyo’s subway network, known for their long service life and multiple refurbishment programs.
-
D.
Keio 7000 series
The Keio 7000 series is a Japanese electric multiple unit train type operated by Keio Corporation, known for serving commuter routes in the Tokyo area.
-
E.
Hankyu 8300 series
The Hankyu 8300 series is a Japanese electric multiple unit train type operated by Hankyu Railway, primarily used for commuter services in the Kansai region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keihan 800 series Target entity description: The Keihan 800 series is a Japanese electric multiple unit train operated by Keihan Electric Railway, primarily used for commuter services on its subway-linked lines in the Kyoto–Osaka area.
-
A.
Hankyu 8000 series
The Hankyu 8000 series is a Japanese electric multiple unit commuter train type operated by Hankyu Railway in the Kansai region.
-
B.
Tokyo Metro 08 series
The Tokyo Metro 08 series is a Japanese electric multiple unit train type operated by Tokyo Metro on urban commuter services.
-
C.
Tokyo Metro 8000 series
The Tokyo Metro 8000 series is a fleet of electric multiple unit trains introduced in the early 1980s for Tokyo’s subway network, known for their long service life and multiple refurbishment programs.
-
D.
Keio 7000 series
The Keio 7000 series is a Japanese electric multiple unit train type operated by Keio Corporation, known for serving commuter routes in the Tokyo area.
-
E.
Hankyu 8300 series
The Hankyu 8300 series is a Japanese electric multiple unit train type operated by Hankyu Railway, primarily used for commuter services in the Kansai region.
- F. None of above. chosen
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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fe4b808190bbc1bbde7a11f283 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.