Triple
T16981513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xtime |
E411955
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Cox Automotive |
E86702
|
NE 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: Cox Automotive | Statement: [Xtime, parentCompany, Cox Automotive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cox Automotive Context triple: [Xtime, parentCompany, Cox Automotive]
-
A.
Cox Automotive
chosen
Cox Automotive is a leading global automotive services and technology company that provides solutions for car buying, selling, financing, and fleet management to consumers, dealers, and manufacturers.
-
B.
AutoNation
AutoNation is one of the largest automotive retail chains in the United States, operating numerous dealerships that sell new and used vehicles and provide related services.
-
C.
Cars.com
Cars.com is a major online automotive marketplace that connects car buyers with sellers through listings, reviews, and research tools.
-
D.
Autotrader
Autotrader is a major online automotive marketplace where consumers can buy, sell, and research new and used vehicles.
-
E.
Lithia Motors
Lithia Motors is one of the largest automotive retail and service dealership groups in the United States, operating numerous franchised and used-vehicle stores nationwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18830ac8190a20c89a87379ae94 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d479610c8190a6281e6d4959b820 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:32 a.m.