Triple
T14135756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 8210 |
E350289
|
entity |
| Predicate | marketIntroductionPeriod |
P8446
|
FINISHED |
| Object | late 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: late 1990s | Statement: [Nokia 8210, marketIntroductionPeriod, late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketIntroductionPeriod Context triple: [Nokia 8210, marketIntroductionPeriod, late 1990s]
-
A.
approximateIntroductionPeriod
Indicates the approximate time period during which an entity was first introduced or came into use.
-
B.
marketDebut
chosen
Indicates the event or point in time when something (such as a product, service, or asset) is first introduced or made available on the market.
-
C.
launchPeriod
Indicates the time span during which a launch or deployment activity occurs or is valid.
-
D.
marketHeldOn
Indicates that a market event takes place at a specific time and/or location.
-
E.
introducedInMarket
Indicates that an entity was first made available or launched for sale within a particular market or marketplace.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:13 a.m.