Triple
T4788559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshin Namba Line |
E106543
|
entity |
| Predicate | hasThroughRunningTo |
P36240
|
FINISHED |
| Object | Kintetsu Nara Station via Kintetsu Nara Line |
—
|
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: Kintetsu Nara Station via Kintetsu Nara Line | Statement: [Hanshin Namba Line, hasThroughRunningTo, Kintetsu Nara Station via Kintetsu Nara Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThroughRunningTo Context triple: [Hanshin Namba Line, hasThroughRunningTo, Kintetsu Nara Station via Kintetsu Nara Line]
-
A.
hasRunType
Indicates the type or category of a run associated with an entity (e.g., execution mode, run classification, or run configuration).
-
B.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
C.
hasSprintFinish
Indicates that an event, activity, or process concludes with a short, intense final effort or burst of speed.
-
D.
completedAsThroughRoute
chosen
Indicates that an action or journey was carried out by following a designated through route from start to finish.
-
E.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.