Triple
T14039868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainhill Trials |
E337815
|
entity |
| Predicate | railwayTechnology |
P3554
|
FINISHED |
| Object | steam locomotive |
—
|
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: steam locomotive | Statement: [Rainhill Trials, railwayTechnology, steam locomotive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayTechnology Context triple: [Rainhill Trials, railwayTechnology, steam locomotive]
-
A.
railwayFocus
Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
-
B.
railroadEngineeringFeature
chosen
Indicates a feature, element, or characteristic specifically related to the design, construction, or operation of railroad engineering systems.
-
C.
railwayInfrastructureManager
Indicates that one entity is responsible for managing, maintaining, and operating the railway infrastructure used by another entity.
-
D.
railroad
Indicates that one entity constructs, operates, or provides railroad or train transportation services for another entity or area.
-
E.
railcode
Indicates that an entity is associated with a specific railway code used for identification or classification within a rail 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.