Triple
T21715890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大船駅 |
E536026
|
entity |
| Predicate | 駅種別 |
P27767
|
FINISHED |
| Object | JR東日本の駅 |
—
|
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: JR東日本の駅 | Statement: [大船駅, 駅種別, JR東日本の駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 駅種別 Context triple: [大船駅, 駅種別, JR東日本の駅]
-
A.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
B.
railwayStationCategory
chosen
Indicates the classification or type category assigned to a railway station within a rail network or system.
-
C.
isRailwayStation
Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
-
D.
railwayStationInstanceOf
Indicates that a given railway station is an instance of a specified class or type of railway station.
-
E.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu railway network.
- 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_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.