Triple
T29484706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegel zero |
E747887
|
entity |
| Predicate | isHypothetical |
P166959
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Siegel zero, isHypothetical, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHypothetical Context triple: [Siegel zero, isHypothetical, true]
-
A.
hypothesis
Indicates that a statement or proposition is tentatively assumed to be true and is subject to testing, evaluation, or proof.
-
B.
hypothesisStatus
Indicates the current state or condition of a given hypothesis within a reasoning, evaluation, or workflow process.
-
C.
hasAlternativeHypothesis
Indicates that an entity is associated with another entity that serves as a different or competing hypothesis to explain the same phenomenon or data.
-
D.
hasNullHypothesis
Indicates that an entity is associated with, or defined in terms of, a specific null hypothesis in a statistical or experimental context.
-
E.
exploresHypothesis
Indicates that an entity actively investigates, tests, or examines a proposed hypothesis to understand its validity or implications.
- F. None of above. chosen
Provenance (4 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c04cebc819083ae3b4338149347 |
completed | May 2, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:07 p.m.