Triple
T2654080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Macintosh Performa series |
E53967
|
entity |
| Predicate | marketedThrough |
P15059
|
FINISHED |
| Object | mass-market retail stores |
—
|
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: mass-market retail stores | Statement: [Apple Macintosh Performa series, marketedThrough, mass-market retail stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketedThrough Context triple: [Apple Macintosh Performa series, marketedThrough, mass-market retail stores]
-
A.
marketedFrom
Indicates that a product, service, or offering began to be marketed starting from a specified time or date.
-
B.
marketedFor
Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
-
C.
marketedBy
Indicates that one entity is promoted, advertised, or commercially presented to customers by another entity.
-
D.
soldAt
chosen
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
E.
hasSecondaryMarket
Indicates that something can be bought, sold, or traded in a secondary market beyond its original point of sale.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.