Triple
T30071127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | new-build P2 No. 2007 Prince of Wales |
E764184
|
entity |
| Predicate | basedOnLocomotiveDesigner |
P194184
|
FINISHED |
| Object | Nigel Gresley |
—
|
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: Nigel Gresley | Statement: [new-build P2 No. 2007 Prince of Wales, basedOnLocomotiveDesigner, Nigel Gresley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnLocomotiveDesigner Context triple: [new-build P2 No. 2007 Prince of Wales, basedOnLocomotiveDesigner, Nigel Gresley]
-
A.
locomotiveWorks
Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
-
B.
exampleLocomotive
Indicates that one entity serves as an example or instance of a locomotive in relation to another entity.
-
C.
hasLocomotive
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
-
D.
laterLocomotiveType
Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
-
E.
locomotiveClassBuiltFor
Indicates that a particular locomotive class was specifically designed or constructed to serve a given railway company, service type, or operational purpose.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: April 29, 2026, 7 p.m.