Triple
T20563959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borel–Weil theorem |
E504917
|
entity |
| Predicate | typicalDomainObject |
P76740
|
FINISHED |
| Object | maximal torus of a compact Lie group |
—
|
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: maximal torus of a compact Lie group | Statement: [Borel–Weil theorem, typicalDomainObject, maximal torus of a compact Lie group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDomainObject Context triple: [Borel–Weil theorem, typicalDomainObject, maximal torus of a compact Lie group]
-
A.
typicalObjectType
chosen
Indicates that something is a common or characteristic type of object typically associated with or involved in another entity or situation.
-
B.
typicalDomain
Indicates that one entity is the characteristic or most common domain, context, or area of application in which another entity typically occurs or is used.
-
C.
typicalFields
Indicates the standard or commonly occurring attributes or data fields that are usually associated with an entity or record.
-
D.
doctrineDomain
Indicates that a doctrine, belief system, or set of teachings is specifically about or applies within a particular domain or field.
-
E.
typicalIdentity
Indicates that one entity is the standard, characteristic, or most representative identity of another entity within a given context.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a0a0488190a534050b40ff47da |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.