Triple
T29904343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Motor Company |
E759494
|
entity |
| Predicate | soldMostOfStakeInMazda |
P21810
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Ford Motor Company, soldMostOfStakeInMazda, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldMostOfStakeInMazda Context triple: [Ford Motor Company, soldMostOfStakeInMazda, 2008]
-
A.
soldStakeIn
chosen
Indicates that one entity has transferred ownership of a share or interest it held in another entity or asset to a different party.
-
B.
soldBrandTo
Indicates that one entity transferred ownership or control of a brand to another entity through a sale.
-
C.
purchasedByMitsubishi
Indicates that something (such as a company, asset, or product) has been bought or acquired by Mitsubishi.
-
D.
isOneOfBestSellingCars
Indicates that the car is among the top-selling cars within a specified market or time period.
-
E.
soldTechnologyTo
Indicates that one entity transferred ownership or rights to a technology to another entity in exchange for compensation.
- 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_69f6775489c8819082f3ac9e756b6d92 |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:07 p.m.