Triple
T1207009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Manufacturing UK |
E25911
|
entity |
| Predicate | startOfProductionAtBurnaston |
P19004
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Toyota Manufacturing UK, startOfProductionAtBurnaston, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfProductionAtBurnaston Context triple: [Toyota Manufacturing UK, startOfProductionAtBurnaston, 1992]
-
A.
startOfPlutoniumProduction
Indicates the point in time when the process of producing plutonium begins.
-
B.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
C.
dateOfFirstControlledChainReaction
Indicates the calendar date on which the first successfully controlled nuclear chain reaction occurred.
-
D.
enteredAutomobileProduction
chosen
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
E.
timePeriodOfProduction
Indicates the span of time during which something was produced or created.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.