Triple
T5290724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bane NOR |
E119733
|
entity |
| Predicate | hasRailwayInfrastructureType |
P63327
|
FINISHED |
| Object | conventional rail |
—
|
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: conventional rail | Statement: [Bane NOR, hasRailwayInfrastructureType, conventional rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayInfrastructureType Context triple: [Bane NOR, hasRailwayInfrastructureType, conventional rail]
-
A.
usesRailInfrastructureOf
Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
-
B.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
-
C.
hasRailFacility
Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
-
D.
hasRackRailway
Indicates that one entity possesses or includes a rack railway system connecting locations or operating within its area.
-
E.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
- F. None of above. chosen
Provenance (4 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd86800630819096dad2eb2248c372 |
completed | March 20, 2026, 5:40 p.m. |
Created at: March 20, 2026, 1:52 p.m.