Triple
T11330367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford XLT |
E268325
|
entity |
| Predicate | typicalBuyers |
P481
|
FINISHED |
| Object | customers seeking more comfort than base models |
—
|
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: customers seeking more comfort than base models | Statement: [Ford XLT, typicalBuyers, customers seeking more comfort than base models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBuyers Context triple: [Ford XLT, typicalBuyers, customers seeking more comfort than base models]
-
A.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
B.
targetBorrowers
Indicates that certain entities are the intended or eligible recipients of a loan or borrowing arrangement from another entity.
-
C.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
D.
eligiblePurchasers
Indicates that certain entities are permitted or qualified to make a particular purchase under specified rules or conditions.
-
E.
targetMarket
chosen
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.