Triple
T18740896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Taunus 12M |
E458287
|
entity |
| Predicate | successorLayout |
P133377
|
FINISHED |
| Object | front-engine, front-wheel-drive |
—
|
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: front-engine, front-wheel-drive | Statement: [Ford Taunus 12M, successorLayout, front-engine, front-wheel-drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorLayout Context triple: [Ford Taunus 12M, successorLayout, front-engine, front-wheel-drive]
-
A.
successorConfiguration
Indicates that one configuration directly follows another as its immediate next state in a sequence or process.
-
B.
successorAlignment
Indicates that one entity’s alignment, orientation, or configuration directly follows and is determined by that of another entity in a sequence or progression.
-
C.
successorModel
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
D.
successorChild
Indicates that one entity is the child of another entity who is its immediate predecessor or predecessor in a succession or lineage.
-
E.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
- F. None of above. chosen
Provenance (4 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ecc2081908143310190ffb460 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.