Triple
T21704964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GASGAS Factory Racing Tech3 |
E535748
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Tech3 |
—
|
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: Tech3 | Statement: [GASGAS Factory Racing Tech3, operatedBy, Tech3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tech3 Context triple: [GASGAS Factory Racing Tech3, operatedBy, Tech3]
-
A.
Tech3
chosen
Tech3 is a French motorcycle racing team best known for competing in the MotoGP World Championship as a long-time satellite squad for major manufacturers like Yamaha and KTM.
-
B.
Tech High
Tech High is a public high school in Oakland, California, known for its diverse student body, strong academic programs, and historic campus.
-
C.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
D.
Smart Tech
Smart Tech is the fictional electronics retail store where the main characters work in the comedy film "The 40-Year-Old Virgin."
-
E.
EngTech
EngTech is a professional engineering technician registration grade in the UK that recognizes competent, practically focused engineering and technical professionals below chartered engineer level.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.