Triple
T25746158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wixom Assembly Plant |
E648348
|
entity |
| Predicate | peakProductionRole |
P36865
|
FINISHED |
| Object | primary assembly plant for Lincoln Town Car |
—
|
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: primary assembly plant for Lincoln Town Car | Statement: [Wixom Assembly Plant, peakProductionRole, primary assembly plant for Lincoln Town Car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakProductionRole Context triple: [Wixom Assembly Plant, peakProductionRole, primary assembly plant for Lincoln Town Car]
-
A.
peakRole
Indicates the role or position an entity holds at the highest or most prominent point of its activity, status, or performance.
-
B.
producerRole
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
C.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
-
D.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
E.
hasProductionRole
chosen
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1fb8d88190a03c705fecf22634 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:51 a.m.