Triple
T8245608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycra |
E192841
|
entity |
| Predicate | commercializedInDecade |
P32635
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Lycra, commercializedInDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercializedInDecade Context triple: [Lycra, commercializedInDecade, 1960s]
-
A.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
-
B.
releasedInDecade
chosen
Indicates that an item (such as a work, product, or event) was released during a specified ten-year time period.
-
C.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
D.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
E.
endOfMainCommercialUseDecade
Indicates the decade in which the primary or main commercial use of something comes to an end.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7872f6d481909ea1d3c2aad1a2b1 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.