Triple
T8720313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MP 05 |
E206992
|
entity |
| Predicate | railwaySignallingCompatibility |
P40340
|
FINISHED |
| Object | automatic train control |
—
|
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 train control | Statement: [MP 05, railwaySignallingCompatibility, automatic train control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwaySignallingCompatibility Context triple: [MP 05, railwaySignallingCompatibility, automatic train control]
-
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.
railcode
Indicates that an entity is associated with a specific railway code used for identification or classification within a rail system.
-
C.
railwaySign
Indicates that one entity functions as a railway-related sign or signal that conveys information or instructions within a rail transport context to another entity.
-
D.
railwaySignificance
Indicates the importance or role that a railway or rail-related feature has within a transportation network, region, or context.
-
E.
railInterface
Indicates a connection or interaction between entities via a rail-based system or interface.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.