Triple
T33077086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | スカイライナー |
E846393
|
entity |
| Predicate | 運行ダイヤ特徴 |
P89574
|
FINISHED |
| Object | 空港発着便の時間帯に合わせた設定が行われている |
—
|
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: 空港発着便の時間帯に合わせた設定が行われている | Statement: [スカイライナー, 運行ダイヤ特徴, 空港発着便の時間帯に合わせた設定が行われている]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 運行ダイヤ特徴 Context triple: [スカイライナー, 運行ダイヤ特徴, 空港発着便の時間帯に合わせた設定が行われている]
-
A.
trainOperation
Indicates that an entity is engaged in operating, running, or managing the movement and service of a train.
-
B.
operationalCharacteristic
chosen
Indicates a relationship where a specific functional or performance trait is attributed to, or used to describe, how an entity operates.
-
C.
transportationCharacteristic
Indicates a specific property, feature, or quality that characterizes a mode, means, or instance of transportation.
-
D.
transportCharacteristic
Indicates a relationship where a specific characteristic, property, or feature is attributed to a mode or instance of transport.
-
E.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:25 a.m.