Triple
T24976449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raleigh Chopper |
E625034
|
entity |
| Predicate | Mk2ProductionStartYear |
P142904
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Raleigh Chopper, Mk2ProductionStartYear, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Mk2ProductionStartYear Context triple: [Raleigh Chopper, Mk2ProductionStartYear, 1972]
-
A.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
B.
mainProductionPeriodStart
chosen
Indicates the point in time when the primary or main phase of production for something begins.
-
C.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
-
D.
initialProductionEndDate
Indicates the date on which the initial phase or run of production for something comes to an end.
-
E.
tankModelProduced
Indicates that a particular model or variant of a tank was manufactured or brought into production by some producer or manufacturer.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:02 a.m.