Triple
T21627537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZX Spectrum |
E533740
|
entity |
| Predicate | soldUnitsApprox |
P44135
|
FINISHED |
| Object | over 5 million units |
—
|
LITERAL 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: over 5 million units | Statement: [ZX Spectrum, soldUnitsApprox, over 5 million units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldUnitsApprox Context triple: [ZX Spectrum, soldUnitsApprox, over 5 million units]
-
A.
soldUntil
Indicates that the availability or sale of an item continues up to, but not beyond, a specified time or date.
-
B.
soldCopies
chosen
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
C.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
D.
soldAroundYear
Indicates that one entity was sold approximately in or around a specified year, rather than at an exact known date.
-
E.
soldWellIn
Indicates that something achieved strong sales performance within a particular market, region, or time period.
- F. None of above.
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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.