Triple
T8881518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LNER Class P2 |
E211420
|
entity |
| Predicate | firstLocomotiveNumber |
P34028
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [LNER Class P2, firstLocomotiveNumber, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLocomotiveNumber Context triple: [LNER Class P2, firstLocomotiveNumber, 2001]
-
A.
locomotiveNumber
chosen
Indicates the identifying number assigned to a locomotive in the relationship.
-
B.
openingLocomotive
Indicates that an entity serves as the leading locomotive at the front of a train consist.
-
C.
hasLocomotive
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
-
D.
firstChassisNumber
Indicates that the associated value is the earliest or initial chassis identification number assigned to a vehicle or mechanical unit.
-
E.
typeOfLocomotivesProduced
Indicates the specific kinds or categories of locomotives that are manufactured or produced by an entity.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.