Triple
T4720666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Niro EV |
E104756
|
entity |
| Predicate | hasHeatPumpOption |
P59018
|
FINISHED |
| Object | available in some markets and trims |
—
|
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: available in some markets and trims | Statement: [Kia Niro EV, hasHeatPumpOption, available in some markets and trims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeatPumpOption Context triple: [Kia Niro EV, hasHeatPumpOption, available in some markets and trims]
-
A.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
B.
furnaceType
Indicates the specific kind or category of furnace associated with an entity.
-
C.
hasAirConditioning
Indicates that an entity is equipped with or provides air conditioning.
-
D.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
E.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
- F. None of above. chosen
Provenance (4 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:18 p.m.