Triple
T8602802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TurboGrafx-16 |
E203719
|
entity |
| Predicate | mediaFormat |
P131
|
FINISHED |
| Object | TurboChip |
E491828
|
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: TurboChip | Statement: [TurboGrafx-16, mediaFormat, TurboChip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TurboChip Context triple: [TurboGrafx-16, mediaFormat, TurboChip]
-
A.
Tillotson
Tillotson is an English surname most notably associated with John Tillotson, a 17th-century Archbishop of Canterbury.
-
B.
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.
-
C.
Venturi
Venturi is an Italian surname most prominently associated with architect Robert Venturi, a key figure in postmodern architecture.
-
D.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
E.
Thurbo
Thurbo is a Swiss regional railway company that operates local and suburban train services, particularly in northeastern Switzerland.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dc23448190a5eb63455578427e |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f13f7081908317c1b2d87a51b2 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.