Triple
T6176499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deeside engine plant |
E137831
|
entity |
| Predicate | primaryOutputFor |
P17392
|
FINISHED |
| Object | Toyota vehicle assembly plants in Europe |
—
|
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: Toyota vehicle assembly plants in Europe | Statement: [Deeside engine plant, primaryOutputFor, Toyota vehicle assembly plants in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOutputFor Context triple: [Deeside engine plant, primaryOutputFor, Toyota vehicle assembly plants in Europe]
-
A.
primaryOutput
chosen
Indicates that the related entity is the main or principal result, product, or outcome produced by another entity or process.
-
B.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
C.
primaryInput
Indicates that an entity serves as the main or principal input to a process, system, or operation.
-
D.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
E.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc87bc48190834042d9c41d5b86 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.