Triple
T4165895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | axiom schema of separation |
E84443
|
entity |
| Predicate | schemaOver |
P14851
|
FINISHED |
| Object | all formulas φ in the first-order language of set theory |
—
|
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: all formulas φ in the first-order language of set theory | Statement: [axiom schema of separation, schemaOver, all formulas φ in the first-order language of set theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schemaOver Context triple: [axiom schema of separation, schemaOver, all formulas φ in the first-order language of set theory]
-
A.
symbolDescription
Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
-
B.
metadataType
Indicates that one entity specifies the kind or category of metadata associated with another entity.
-
C.
scopeDetail
chosen
Indicates a more specific or refined characterization of the extent, boundaries, or coverage of something within a broader scope.
-
D.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
E.
specType
Indicates the specific type or category of a specification that an entity is associated with.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02ac8e788190a8f3563a2903bbad |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.