Triple
T16529945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrust2 |
E401536
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Castrol |
E295034
|
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: Castrol | Statement: [Thrust2, sponsor, Castrol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castrol Context triple: [Thrust2, sponsor, Castrol]
-
A.
Castrol
chosen
Castrol is a global brand of industrial and automotive lubricants, best known for its high-performance motor oils and long-standing involvement in motorsports sponsorship.
-
B.
Mobil Delvac
Mobil Delvac is a long-standing line of heavy-duty diesel engine oils and lubricants designed for commercial vehicles and industrial applications.
-
C.
Havoline
Havoline is a well-known motor oil and automotive lubricants brand marketed by Caltex and its parent company Chevron.
-
D.
Mobil 1
Mobil 1 is a leading synthetic motor oil brand produced by ExxonMobil, widely used in high-performance and motorsport applications.
-
E.
Rotella
Rotella is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed625208190a68b879266b05b3f |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00609129808190b893346e06deb944 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.