Triple
T36876983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bockstein homomorphism |
E911365
|
entity |
| Predicate | oftenDenoted |
P83591
|
FINISHED |
| Object | β |
—
|
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: β | Statement: [Bockstein homomorphism, oftenDenoted, β]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDenoted Context triple: [Bockstein homomorphism, oftenDenoted, β]
-
A.
oftenStatedWith
Indicates that one statement, fact, or expression is frequently mentioned or asserted together with another.
-
B.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
C.
oftenDescribes
Indicates that one entity is frequently used to characterize, depict, or provide information about another entity.
-
D.
oftenRefersTo
chosen
Indicates that one entity is frequently used to mention, denote, or reference another entity in common usage or context.
-
E.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
- 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_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:13 p.m.