Triple
T21494527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | algebraic number theory |
E530317
|
entity |
| Predicate | studiesPropertyOf |
P81934
|
FINISHED |
| Object | integers |
—
|
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: integers | Statement: [algebraic number theory, studiesPropertyOf, integers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesPropertyOf Context triple: [algebraic number theory, studiesPropertyOf, integers]
-
A.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
-
B.
identifiesPropertyOf
Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
-
C.
studiesTrait
chosen
Indicates that one entity conducts research or examination focused on a particular trait or characteristic of another entity.
-
D.
studiesFeature
Indicates that an entity conducts research or examination on a particular feature or characteristic of something.
-
E.
studiedWithin
Indicates that one entity pursued studies or academic work within the scope, context, or boundaries defined by another entity (such as an institution, program, or 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea567244819091863350fedae3ae |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:23 p.m.