Triple
T33649508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thin Controller |
E862054
|
entity |
| Predicate | railwayManaged |
P44064
|
FINISHED |
| Object | Skarloey Railway |
—
|
NE NERFINISHED |
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: Skarloey Railway | Statement: [The Thin Controller, railwayManaged, Skarloey Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayManaged Context triple: [The Thin Controller, railwayManaged, Skarloey Railway]
-
A.
railwayInfrastructureManager
Indicates that one entity is responsible for managing, maintaining, and operating the railway infrastructure used by another entity.
-
B.
railwayControlledBy
chosen
Indicates that the operation, management, or authority over a railway is exercised by a specified controlling entity.
-
C.
railwaySecured
Indicates that a railway or rail line has been made safe, protected, or brought under control, ensuring secure passage or operation.
-
D.
railwayTargeted
Indicates that a railway or rail-related infrastructure is deliberately chosen and attacked as a target.
-
E.
railwayClass
Indicates the specific classification or category assigned to a railway or railway service within a defined system.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.