Triple
T29904367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | producedModelsAtAutoAllianceInternational |
P101552
|
FINISHED |
| Object | Ford Mustang |
—
|
NE NERFINISHED |
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: Ford Mustang | Statement: [Ford Motor Company, producedModelsAtAutoAllianceInternational, Ford Mustang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedModelsAtAutoAllianceInternational Context triple: [Ford Motor Company, producedModelsAtAutoAllianceInternational, Ford Mustang]
-
A.
producedModel
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
B.
producedVehicle
chosen
Indicates that one entity manufactured or created a particular vehicle.
-
C.
manufacturingModel
Indicates that one entity serves as the manufacturing model, design, or template according to which another entity is produced or manufactured.
-
D.
equipmentTypeProduced
Indicates that an entity produces or manufactures a particular type or category of equipment.
-
E.
exportedModelsUnderBrand
Indicates that certain models associated with a brand have been exported to markets outside their origin.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 29, 2026, 6:07 p.m.