Triple
T13037579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪交野線 |
E326602
|
entity |
| Predicate | 鉄道会社本社所在地 |
P22571
|
FINISHED |
| Object | 大阪府大阪市中央区 |
—
|
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: 大阪府大阪市中央区 | Statement: [京阪交野線, 鉄道会社本社所在地, 大阪府大阪市中央区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 鉄道会社本社所在地 Context triple: [京阪交野線, 鉄道会社本社所在地, 大阪府大阪市中央区]
-
A.
hasRailwayHeadquarters
chosen
Indicates that a railway organization or system has its main administrative or operational headquarters located at a specified place.
-
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.
hasRailwayCompanyOrigin
Indicates that a railway company originated from, or was initially established in, a specified place or source.
-
D.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
E.
railwayDivisionHeadquartersOf
Indicates that one location serves as the administrative headquarters for a specified railway division.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:55 p.m.