Triple
T22305693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaoka-tenjin Station |
E551367
|
entity |
| Predicate | servesOperatorService |
P5884
|
FINISHED |
| Object | Hankyu Kyoto Line local services |
—
|
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: Hankyu Kyoto Line local services | Statement: [Nagaoka-tenjin Station, servesOperatorService, Hankyu Kyoto Line local services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesOperatorService Context triple: [Nagaoka-tenjin Station, servesOperatorService, Hankyu Kyoto Line local services]
-
A.
typicalOperatorService
Indicates that an entity commonly performs or provides a particular operational service in a standard or expected manner.
-
B.
operatesService
chosen
Indicates that an agent runs, manages, or provides a particular service.
-
C.
operationalService
Indicates that one entity provides, performs, or is responsible for carrying out a particular service or operation for another entity.
-
D.
operatesServiceTo
Indicates that one entity runs or provides a transportation or service route to another entity or location.
-
E.
enteredServiceWithOperator
Indicates that an entity began operational service under the responsibility or control of a specified operator.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157276d3c8190a55c93760a986cdc |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.