Triple
T37061763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪電気鉄道本社 |
E917340
|
entity |
| Predicate | サービス提供エリア |
P82
|
FINISHED |
| Object | 大阪・京都・滋賀エリア |
—
|
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: 大阪・京都・滋賀エリア | Statement: [京阪電気鉄道本社, サービス提供エリア, 大阪・京都・滋賀エリア]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: サービス提供エリア Context triple: [京阪電気鉄道本社, サービス提供エリア, 大阪・京都・滋賀エリア]
-
A.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
-
B.
areaServed
chosen
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
C.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
-
D.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
E.
areaServedType
Indicates the type or category of area that is served by an entity or service.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.