Triple
T21715788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大宮駅 |
E536024
|
entity |
| Predicate | 鉄道事業者種別 |
P38622
|
FINISHED |
| Object | 在来線・新幹線・私鉄・新交通システムが乗り入れる駅 |
—
|
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: 在来線・新幹線・私鉄・新交通システムが乗り入れる駅 | Statement: [大宮駅, 鉄道事業者種別, 在来線・新幹線・私鉄・新交通システムが乗り入れる駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 鉄道事業者種別 Context triple: [大宮駅, 鉄道事業者種別, 在来線・新幹線・私鉄・新交通システムが乗り入れる駅]
-
A.
railwayCompanyType
chosen
Indicates the specific category or classification of a railway company in terms of its role, ownership, or operational type.
-
B.
railwayCompany
Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
-
C.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
D.
railwayOwner
Indicates that one entity owns, controls, or holds proprietary rights over a railway or railway system used by another entity.
-
E.
formerRailOperator
Indicates that an entity previously operated a rail service or railway system but no longer does so.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.