Triple
T21715716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSライン |
E536022
|
entity |
| Predicate | 利用文脈 |
P36
|
FINISHED |
| Object | 鉄道ファンの間 |
—
|
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: 鉄道ファンの間 | Statement: [SSライン, 利用文脈, 鉄道ファンの間]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 利用文脈 Context triple: [SSライン, 利用文脈, 鉄道ファンの間]
-
A.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
B.
context
chosen
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
C.
contextSensitive
Indicates that the relationship or behavior depends on the surrounding context or situation rather than being fixed or absolute.
-
D.
draftContext
Indicates the situational or background information in which a draft (such as a preliminary version of a document, plan, or message) is created, edited, or evaluated.
-
E.
creativeContext
Indicates the situational, cultural, or conceptual setting in which a creative work, idea, or action is produced or interpreted.
- 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.