Triple
T18205582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jet-A kerosene |
E435892
|
entity |
| Predicate | freezingPoint |
P87494
|
FINISHED |
| Object | maximum −40 °C |
—
|
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: maximum −40 °C | Statement: [Jet-A kerosene, freezingPoint, maximum −40 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freezingPoint Context triple: [Jet-A kerosene, freezingPoint, maximum −40 °C]
-
A.
hasTypicalFreezingPoint
chosen
Indicates the temperature at which a substance normally changes from liquid to solid under standard conditions.
-
B.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
C.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
D.
heatOfFusion
Indicates the amount of energy required to change a substance from solid to liquid at constant temperature and pressure.
-
E.
waterTriplePointApproximation
Indicates that the condition or value corresponds to an approximation of water’s triple point, where its solid, liquid, and vapor phases coexist in equilibrium.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2234b988190bbe2c2164d61f65f |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.