Triple
T25602528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GF(p) |
E641824
|
entity |
| Predicate | isBaseFieldFor |
P62046
|
FINISHED |
| Object | finite field extensions GF(p^n) |
—
|
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: finite field extensions GF(p^n) | Statement: [GF(p), isBaseFieldFor, finite field extensions GF(p^n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBaseFieldFor Context triple: [GF(p), isBaseFieldFor, finite field extensions GF(p^n)]
-
A.
hasBaseField
chosen
Indicates that one entity serves as the foundational or underlying field structure upon which another entity is defined or constructed.
-
B.
isBaseFor
Indicates that one entity serves as the foundational support, starting point, or underlying basis upon which another entity is built, developed, or depends.
-
C.
isFixedFieldOf
Indicates that one element is a fixed, non-variable field or attribute that belongs to and is structurally defined as part of another entity.
-
D.
isMajorFieldWithin
Indicates that one academic or professional major field is contained within or is a specialization of a broader field.
-
E.
inSameFieldAs
Indicates that two entities work, study, or specialize within the same professional or academic field.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a7d7d881909014fdf3746f981b |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:36 p.m.