Triple
T18205581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jet-A kerosene |
E435892
|
entity |
| Predicate | flashPoint |
P87493
|
FINISHED |
| Object | minimum about 38 °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: minimum about 38 °C | Statement: [Jet-A kerosene, flashPoint, minimum about 38 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashPoint Context triple: [Jet-A kerosene, flashPoint, minimum about 38 °C]
-
A.
hasTypicalFlashPoint
chosen
Indicates that one entity characteristically reaches its flash point (ignition temperature) at the temperature value specified by the other entity.
-
B.
flashType
Indicates the type or mode of flash used or associated with an event, object, or action.
-
C.
hasHigherFlashPointThan
Indicates that the flash point (the lowest temperature at which vapors ignite) of one substance is greater than that of another substance.
-
D.
consideredFlashpointBy
Indicates that something is regarded as a source of tension, conflict, or potential escalation by a particular party or group.
-
E.
isLessFlammableThan
Indicates that one entity has a lower tendency to catch fire or burn than another entity.
- 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.