Triple
T2598233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukushima Station (Osaka) |
E58282
|
entity |
| Predicate | railwayNetworkRole |
P5885
|
FINISHED |
| Object | urban rail node |
—
|
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: urban rail node | Statement: [Fukushima Station (Osaka), railwayNetworkRole, urban rail node]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayNetworkRole Context triple: [Fukushima Station (Osaka), railwayNetworkRole, urban rail node]
-
A.
railNetworkRole
chosen
Indicates the specific function or responsibility an entity has within a rail network system.
-
B.
railwayLineRole
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
-
C.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
-
D.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
E.
railNetworkSide
Indicates on which side of a rail network (e.g., left or right relative to a reference direction) an entity is located or associated.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.