Triple
T1815716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commodore Amiga 4000 |
E40430
|
entity |
| Predicate | manufacturerStatus |
P32611
|
FINISHED |
| Object | discontinued |
—
|
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: discontinued | Statement: [Commodore Amiga 4000, manufacturerStatus, discontinued]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerStatus Context triple: [Commodore Amiga 4000, manufacturerStatus, discontinued]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
C.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
D.
majorVendor
Indicates that one entity serves as a primary or leading supplier of goods or services to another entity.
-
E.
manufacturerReputation
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
- F. None of above. chosen
Provenance (4 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.