Triple
T19450408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari Lynx |
E486599
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | TurboExpress |
—
|
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: TurboExpress | Statement: [Atari Lynx, competitor, TurboExpress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TurboExpress Context triple: [Atari Lynx, competitor, TurboExpress]
-
A.
TurboExpress
chosen
The TurboExpress was NEC's handheld version of the TurboGrafx-16 console, notable for its advanced color screen and ability to play full home console HuCard games on the go.
-
B.
Turbo Express
Turbo Express is the popular nickname for the British Rail Class 166 diesel multiple-unit trains used for regional and commuter services in the UK.
-
C.
Turbo Track
Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
-
D.
Leo Express
Leo Express is a Czech private transportation company that operates long-distance passenger rail and bus services in Central and Eastern Europe.
-
E.
Turbo Twenty-Three
Turbo Twenty-Three is a comedic crime novel in Janet Evanovich’s popular Stephanie Plum series, following the bumbling bounty hunter through another chaotic New Jersey adventure.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338caeb48190aeb1d511996984e3 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.