Triple
T18796611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet front‑wheel‑drive passenger cars |
E459649
|
entity |
| Predicate | typicalCustomerPriority |
P25884
|
FINISHED |
| Object | low purchase price |
—
|
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: low purchase price | Statement: [Chevrolet front‑wheel‑drive passenger cars, typicalCustomerPriority, low purchase price]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCustomerPriority Context triple: [Chevrolet front‑wheel‑drive passenger cars, typicalCustomerPriority, low purchase price]
-
A.
typicalBoardingPriority
Indicates the usual order or precedence in which different groups of passengers are allowed to board.
-
B.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
C.
typeOfPriority
chosen
Indicates the specific priority level or category assigned to something relative to other items or tasks.
-
D.
typicalHighestLevel
Indicates the usual or most common maximum level or degree that something typically reaches within a given context.
-
E.
typicalCommitment
Indicates a standard or commonly expected level of obligation or promise that one entity holds toward another or toward performing an action.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01ed3c08190890d9518ed69fdee |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.