Triple
T2137399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola 88000 |
E46685
|
entity |
| Predicate | endOfMainCommercialUseDecade |
P36987
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Motorola 88000, endOfMainCommercialUseDecade, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfMainCommercialUseDecade Context triple: [Motorola 88000, endOfMainCommercialUseDecade, 1990s]
-
A.
declineBeganInDecade
Indicates that the period of decline for an entity or phenomenon started during the specified decade.
-
B.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
C.
completedInDecade
Indicates that an action, event, or process was finished within a specified ten-year time period.
-
D.
usedInDecade
Indicates that something was in use or commonly utilized during a specified decade.
-
E.
cameIntoEffectInDecade
Indicates that something (such as a law, policy, or agreement) officially began to be in force during a specified decade.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf71edf08190add69022aabfd49d |
completed | March 7, 2026, 6:02 a.m. |
Created at: March 4, 2026, 7:44 p.m.