Triple
T3704379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penske Corporation |
E80854
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Team Penske |
E382992
|
NE 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: Team Penske | Statement: [Penske Corporation, hasBrand, Team Penske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Team Penske Context triple: [Penske Corporation, hasBrand, Team Penske]
-
A.
Team Penske
chosen
Team Penske is a prominent American auto racing organization best known for its successful teams in series such as IndyCar and NASCAR.
-
B.
Haas F1 Team
Haas F1 Team is an American-owned Formula One racing team that competes in the FIA Formula One World Championship.
-
C.
Dennit Racing
Dennit Racing is the fictional NASCAR team featured in the comedy film "Talladega Nights: The Ballad of Ricky Bobby," for which Ricky Bobby drives.
-
D.
Penske Automotive Group
Penske Automotive Group is a large international transportation services company and one of the world’s leading automotive and commercial truck retailers.
-
E.
Haas
Haas is a German-origin surname borne by numerous individuals worldwide, including several notable figures in fields such as sports, science, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54aaac88190b775dba2513b6d4a |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e9959881908b29fd6c5e344169 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:33 p.m.