Triple
T25677063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GF(p^m) |
E643835
|
entity |
| Predicate | everyElementSatisfies |
P90872
|
FINISHED |
| Object | x^(p^m) = x |
—
|
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: x^(p^m) = x | Statement: [GF(p^m), everyElementSatisfies, x^(p^m) = x]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: everyElementSatisfies Context triple: [GF(p^m), everyElementSatisfies, x^(p^m) = x]
-
A.
occursInEvery
Indicates that the related event, state, or condition takes place within each instance of the specified context or domain, without exception.
-
B.
existsIf
Indicates that the existence or validity of one entity or condition depends on the presence or truth of another specified condition.
-
C.
includesElement
Indicates that one collection, set, or structure contains a specified element as a member or component.
-
D.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
-
E.
requiresEquatableElements
chosen
Indicates that the relationship or operation can only be applied when the involved elements support equality comparison with one another.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3712cc8190b6e851960cc7c9e9 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 7:40 p.m.