Triple
T12502850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan problem |
E298871
|
entity |
| Predicate | unknowns |
P53654
|
FINISHED |
| Object | temperature field |
—
|
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: temperature field | Statement: [Stefan problem, unknowns, temperature field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unknowns Context triple: [Stefan problem, unknowns, temperature field]
-
A.
numberOfUnknowns
chosen
Indicates the count of variables or elements in a situation, equation, or problem whose values are not yet determined or specified.
-
B.
knows
Indicates that one entity has knowledge or awareness of another entity or piece of information.
-
C.
hasUnknown
Indicates that an entity possesses or is associated with information, attributes, or values that are not known or not specified.
-
D.
isUndeciphered
Indicates that something has not yet been successfully interpreted, decoded, or understood in terms of its meaning or structure.
-
E.
knownResult
Indicates that the outcome or consequence of an action, process, or event is already determined and available.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.