Triple
T8245225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teflon |
E192834
|
entity |
| Predicate | thermalDecompositionOnset |
P81138
|
FINISHED |
| Object | around 260–350 °C depending on conditions |
—
|
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: around 260–350 °C depending on conditions | Statement: [Teflon, thermalDecompositionOnset, around 260–350 °C depending on conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalDecompositionOnset Context triple: [Teflon, thermalDecompositionOnset, around 260–350 °C depending on conditions]
-
A.
firingTemperature
Indicates the temperature at which a material or object is heated during a firing process (such as in a kiln or furnace).
-
B.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
C.
temperatureDependent
Indicates that the existence, intensity, or outcome of a relationship or process varies as a function of temperature.
-
D.
temperatureDependenceExponent
Indicates how strongly a quantity or process changes in response to variations in temperature, typically expressed as an exponent in a temperature-dependent relationship.
-
E.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
- 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_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. |
| PDg | Predicate description generation | batch_69cb447c146081909decf97bbd26c496 |
completed | March 31, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:48 p.m.