Triple
T22572736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiki Depot |
E558115
|
entity |
| Predicate | primaryRollingStockTypeStored |
P1305
|
FINISHED |
| Object | Tobu 9000 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: Tobu 9000 series | Statement: [Shiki Depot, primaryRollingStockTypeStored, Tobu 9000 series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobu 9000 series Context triple: [Shiki Depot, primaryRollingStockTypeStored, Tobu 9000 series]
-
A.
Tobu 9000 series
chosen
The Tobu 9000 series is a Japanese electric multiple unit train type operated by Tobu Railway, commonly used for inter-running services with Tokyo Metro lines in the Tokyo metropolitan area.
-
B.
Tobu 30000 series
The Tobu 30000 series is a Japanese electric multiple unit train type operated by Tobu Railway for commuter services in the Greater Tokyo area.
-
C.
Tobu 50050 series
The Tobu 50050 series is a Japanese electric multiple unit train operated by Tobu Railway, designed for through-services with Tokyo Metro and known for its modern commuter-oriented features.
-
D.
Tobu 10030 series
The Tobu 10030 series is a Japanese electric multiple unit train type operated by Tobu Railway for commuter services in the Greater Tokyo area.
-
E.
Tokyo Metro 9000 series
The Tokyo Metro 9000 series is a fleet of electric multiple unit trains operated by Tokyo Metro, primarily known for serving the Namboku Line with modern, air-conditioned commuter services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRollingStockTypeStored Context triple: [Shiki Depot, primaryRollingStockTypeStored, Tobu 9000 series]
-
A.
rollingStockType
chosen
Indicates the specific category or type of railway rolling stock associated with an entity (e.g., locomotive, passenger car, freight wagon).
-
B.
ownedRollingStock
Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
-
C.
operatedRollingStockClass
Indicates that an entity (such as a company or operator) has operated a specific class or type of rolling stock (e.g., trains or rail vehicles).
-
D.
passengerRollingStock
Indicates that the rolling stock is designed or used for carrying passengers rather than freight or other purposes.
-
E.
formerRollingStock
Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
- F. None of above.
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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.