Triple
T8245215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teflon |
E192834
|
entity |
| Predicate | firstCommercialUseYear |
P40835
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Teflon, firstCommercialUseYear, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCommercialUseYear Context triple: [Teflon, firstCommercialUseYear, 1940s]
-
A.
firstCommercialReleaseYear
chosen
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
B.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
C.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
D.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
E.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
- 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.