Triple
T23064102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachibana Station |
E574983
|
entity |
| Predicate | servesRailwayLineSection |
P113252
|
FINISHED |
| Object | JR Kobe Line between Osaka and Kobe |
—
|
NE NERFINISHED |
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: JR Kobe Line between Osaka and Kobe | Statement: [Tachibana Station, servesRailwayLineSection, JR Kobe Line between Osaka and Kobe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesRailwayLineSection Context triple: [Tachibana Station, servesRailwayLineSection, JR Kobe Line between Osaka and Kobe]
-
A.
railwayLineSection
Indicates a specific segment or portion of a railway line that connects two points along the rail network.
-
B.
lineSectionServed
chosen
Indicates that a particular line section is operated or covered by a given service or route.
-
C.
railwaySectionDesignatedAs
Indicates that a specific railway section has been formally assigned or classified under a particular designation or status.
-
D.
servesRailCorridor
Indicates that something (such as a service, facility, or operation) provides service to or operates along a specific rail corridor.
-
E.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a1f49c81909db7e0473ec2bb1b |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.