Triple
T3136724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Higashi Line |
E65549
|
entity |
| Predicate | railwaySignalingSystem |
P40340
|
FINISHED |
| Object | automatic block system |
—
|
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: automatic block system | Statement: [Osaka Higashi Line, railwaySignalingSystem, automatic block system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwaySignalingSystem Context triple: [Osaka Higashi Line, railwaySignalingSystem, automatic block system]
-
A.
usesRailwaySignallingSystem
chosen
Indicates that one entity operates or applies a particular railway signalling system in the context of train or rail traffic control.
-
B.
signallingSystem
Indicates that one entity functions as a signalling system used to transmit information or cues to another entity.
-
C.
railSystemType
Indicates the specific category or classification of a rail transportation system that an entity belongs to or operates within.
-
D.
hasRailwayStationNumberingSystem
Indicates that a railway station is associated with a specific system for assigning it an identifying number or code.
-
E.
railwaySignColor
Indicates the color attribute assigned to a particular railway sign.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada564eacc8190a54d07b4eb31c196 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.