Triple
T6833027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cyclotomic field |
E157383
|
entity |
| Predicate | baseField |
P32473
|
FINISHED |
| Object | rational numbers |
—
|
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: rational numbers | Statement: [cyclotomic field, baseField, rational numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseField Context triple: [cyclotomic field, baseField, rational numbers]
-
A.
baseType
chosen
Indicates that one entity serves as the underlying or parent type from which another entity is derived or specialized.
-
B.
keyField
Indicates that the referenced field serves as a primary or unique identifier within a data structure or record.
-
C.
primaryField
Indicates the main area of focus, discipline, or domain most centrally associated with an entity.
-
D.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
E.
fieldName
Indicates the specific name or label assigned to a field within a data structure, form, or record.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.