Triple
T9297873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JP-7 |
E223685
|
entity |
| Predicate | hasTypicalFlashPoint |
P87493
|
FINISHED |
| Object | approximately 60 °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: approximately 60 °C | Statement: [JP-7, hasTypicalFlashPoint, approximately 60 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalFlashPoint Context triple: [JP-7, hasTypicalFlashPoint, approximately 60 °C]
-
A.
isCombustible
Indicates that a substance or material is capable of catching fire and burning under certain conditions.
-
B.
consideredFlashpointBy
Indicates that something is regarded as a source of tension, conflict, or potential escalation by a particular party or group.
-
C.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
-
D.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
E.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089e3ae88190aa4181cdd85a67b8 |
completed | April 1, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:36 p.m.