Triple
T2142730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeXTstation |
E46996
|
entity |
| Predicate | statusIn1990 |
P36579
|
FINISHED |
| Object | current product |
—
|
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: current product | Statement: [NeXTstation, statusIn1990, current product]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusIn1990 Context triple: [NeXTstation, statusIn1990, current product]
-
A.
statusIn1945
Indicates the condition, role, or classification an entity had specifically during the year 1945.
-
B.
statusInSovietUnion
Indicates the legal, social, or political standing an entity held within the Soviet Union.
-
C.
countryAfter1991
Indicates that the entity is recognized as a country that came into existence or gained its current sovereign status after the year 1991.
-
D.
statusDuring1930s
Indicates the condition, role, or state an entity held specifically during the 1930s time period.
-
E.
countryAfter1961
Indicates that one entity is recognized as a country at some point after the year 1961.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:44 p.m.