Triple
T35359310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Racing |
E1021427
|
entity |
| Predicate | hadTechnicalAllianceWith |
P183055
|
FINISHED |
| Object | Joe Gibbs Racing |
—
|
NE NERFINISHED |
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: Joe Gibbs Racing | Statement: [Hall of Fame Racing, hadTechnicalAllianceWith, Joe Gibbs Racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadTechnicalAllianceWith Context triple: [Hall of Fame Racing, hadTechnicalAllianceWith, Joe Gibbs Racing]
-
A.
soughtAllianceWith
Indicates that one entity actively attempted to form an alliance or cooperative partnership with another entity.
-
B.
beganStrategicAllianceWith
Indicates that one entity initiated the formation of a strategic alliance or long-term cooperative partnership with another entity.
-
C.
hasBrokenAllianceWith
Indicates that a previously established alliance or partnership between two entities has been ended or violated by at least one of them.
-
D.
oftenAlliedWith
Indicates that one entity is frequently or habitually allied or aligned in cooperation with another entity.
-
E.
hasPoliticalAlly
Indicates that one entity supports and cooperates with another in a political context, treating them as an ally in political activities or objectives.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.