Triple
T36876807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenrod operations |
E911362
|
entity |
| Predicate | coefficientField |
P93936
|
FINISHED |
| Object | F_2 |
—
|
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: F_2 | Statement: [Steenrod operations, coefficientField, F_2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coefficientField Context triple: [Steenrod operations, coefficientField, F_2]
-
A.
coefficientProperty
Indicates a relationship where one entity serves as a coefficient or scalar factor that quantitatively modifies or characterizes another entity or property.
-
B.
hasCoefficientRing
Indicates that one mathematical structure (typically an algebra or module) is defined over, and takes its scalar values from, a specified ring that serves as its coefficient ring.
-
C.
coefficientsIn
chosen
Indicates that one entity appears as a coefficient within the mathematical expression or representation of another entity.
-
D.
hasCoefficientType
Indicates that an entity (such as a term, equation, or expression) is associated with a specific type or category of coefficient it uses.
-
E.
residueField
Indicates that one field is the residue (quotient) field obtained from another field by modding out its maximal ideal.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.