Triple
T17661134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey lemma |
E440253
|
entity |
| Predicate | typicalHypothesis |
P125532
|
FINISHED |
| Object | given a Bailey pair (α_n, β_n) relative to a |
—
|
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: given a Bailey pair (α_n, β_n) relative to a | Statement: [Bailey lemma, typicalHypothesis, given a Bailey pair (α_n, β_n) relative to a]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHypothesis Context triple: [Bailey lemma, typicalHypothesis, given a Bailey pair (α_n, β_n) relative to a]
-
A.
typicalAssumption
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
B.
hypothesis
chosen
Indicates that a statement or proposition is tentatively assumed to be true and is subject to testing, evaluation, or proof.
-
C.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
basisOfHypothesis
Indicates that one entity serves as the foundational evidence, rationale, or starting point for formulating a particular hypothesis about another entity or phenomenon.
-
E.
typicalConclusion
Indicates that one entity is the usual or expected outcome, result, or ending that follows from another entity or situation.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea67f8081909da164ca21a98675 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:43 a.m.