Triple
T25408337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama Minatomirai Railway Y500 series |
E636617
|
entity |
| Predicate | operatingCompanyType |
P38622
|
FINISHED |
| Object | third-sector railway operator |
—
|
LITERAL 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: third-sector railway operator | Statement: [Yokohama Minatomirai Railway Y500 series, operatingCompanyType, third-sector railway operator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingCompanyType Context triple: [Yokohama Minatomirai Railway Y500 series, operatingCompanyType, third-sector railway operator]
-
A.
railwayCompanyType
chosen
Indicates the specific category or classification of a railway company in terms of its role, ownership, or operational type.
-
B.
operatingCompanyAbbreviation
Indicates that the object is an abbreviated or shortened form of the name of the company that operates the subject.
-
C.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
D.
operatedByCompany
Indicates that an entity is run, managed, or controlled by a specific company.
-
E.
operatedByCompanyHeadquarteredIn
Indicates that an entity is operated by a company whose headquarters is located in a specified place.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 21, 2026, 1:52 p.m.