Triple
T25864014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoke Bank |
E651561
|
entity |
| Predicate | worldRecordLocomotive |
P58444
|
FINISHED |
| Object | LNER Class A4 4468 Mallard |
—
|
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: LNER Class A4 4468 Mallard | Statement: [Stoke Bank, worldRecordLocomotive, LNER Class A4 4468 Mallard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecordLocomotive Context triple: [Stoke Bank, worldRecordLocomotive, LNER Class A4 4468 Mallard]
-
A.
maximumSpeedRecord
chosen
Indicates that an entity holds the highest recorded speed value (a speed record) within a given context or category.
-
B.
winningLocomotive
Indicates that a locomotive is the one that wins a competition, race, or contest among locomotives.
-
C.
primaryLocomotiveType
Indicates the main method or mechanism by which an entity typically moves or travels.
-
D.
locomotiveWeight
Indicates the weight or mass of a locomotive in the relationship.
-
E.
hasLocomotive
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:06 a.m.