Triple
T30733604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase Elliott |
E782484
|
entity |
| Predicate | hasCarLiveryNumber |
P175895
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Chase Elliott, hasCarLiveryNumber, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarLiveryNumber Context triple: [Chase Elliott, hasCarLiveryNumber, 9]
-
A.
hasLivery
Indicates that one entity bears or displays the distinctive colors, markings, or branding (livery) associated with another entity.
-
B.
liveryNumber
chosen
Indicates the identifying number assigned to a vehicle or asset within a particular livery or fleet.
-
C.
liveryType
Indicates the specific style, design, or branding scheme applied to an entity’s exterior appearance.
-
D.
hasLiveryStatus
Indicates that an entity has a particular livery condition or status applied to it, such as being painted, branded, or marked in a specific way.
-
E.
hasLiveryRank
Indicates that an entity holds a specific rank or level within a livery or hierarchical service organization.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 29, 2026, 8:37 p.m.