Triple
T21654203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galois representations |
E534413
|
entity |
| Predicate | oftenAssumed |
P7027
|
FINISHED |
| Object | continuous with respect to l-adic topology |
—
|
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: continuous with respect to l-adic topology | Statement: [Galois representations, oftenAssumed, continuous with respect to l-adic topology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenAssumed Context triple: [Galois representations, oftenAssumed, continuous with respect to l-adic topology]
-
A.
typicalAssumption
chosen
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
B.
assumes
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
-
C.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
D.
oftenStatedWith
Indicates that one statement, fact, or expression is frequently mentioned or asserted together with another.
-
E.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59164fe081908abd2e33dcd67def |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.