Triple
T2904367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gibbs Racing |
E62727
|
entity |
| Predicate | hasSeriesEntry |
P18283
|
FINISHED |
| Object | No. 11 car in NASCAR Cup Series |
—
|
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: No. 11 car in NASCAR Cup Series | Statement: [Joe Gibbs Racing, hasSeriesEntry, No. 11 car in NASCAR Cup Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesEntry Context triple: [Joe Gibbs Racing, hasSeriesEntry, No. 11 car in NASCAR Cup Series]
-
A.
hasEntryOn
chosen
Indicates that one entity contains or includes an entry, record, or listing about another entity.
-
B.
hasParentSeries
Indicates that a work or item belongs to, or is derived from, a broader parent series.
-
C.
hasEventSeries
Indicates that an entity is associated with, or participates in, a sequence of related events forming a series.
-
D.
hasStandardSeries
Indicates that an entity is associated with, or belongs to, a designated standard series or standardized sequence.
-
E.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cd68d48190aea4afbdaed2d4bc |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.