Triple
T33176019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukogawa Station |
E849174
|
entity |
| Predicate | regionRailwaySystem |
P15232
|
FINISHED |
| Object | Kansai private railways |
—
|
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: Kansai private railways | Statement: [Mukogawa Station, regionRailwaySystem, Kansai private railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionRailwaySystem Context triple: [Mukogawa Station, regionRailwaySystem, Kansai private railways]
-
A.
railwaySystemPartOf
Indicates that one railway-related component or subsystem belongs to, is included within, or forms a constituent part of a larger railway system.
-
B.
railwaySystemServed
Indicates that a railway system provides service to, or operates within, a specified location or area.
-
C.
railSystemType
Indicates the specific category or classification of a rail transportation system that an entity belongs to or operates within.
-
D.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
-
E.
railwayRegion
chosen
Indicates a relationship where a railway or rail network is associated with, located in, or administered within a particular geographic region.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:29 a.m.