Triple
T34800381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FlixCar |
E1003202
|
entity |
| Predicate | brandOwnerInstanceOf |
P181897
|
FINISHED |
| Object | publicly listed company |
—
|
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: publicly listed company | Statement: [FlixCar, brandOwnerInstanceOf, publicly listed company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandOwnerInstanceOf Context triple: [FlixCar, brandOwnerInstanceOf, publicly listed company]
-
A.
parentBrandOwner
Indicates that one entity is the owning parent company or brand proprietor of another brand entity.
-
B.
parentBrandCountry
Indicates that a brand’s parent company is based in or associated with a specific country.
-
C.
brandOwnerAtRelease
Indicates that a specified entity was the owner of a particular brand at the time the associated product or item was released.
-
D.
isBrand
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
E.
brandOwnerCurrentName
Indicates that the subject entity is the current legal or official name of the owner of the specified brand.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.