Triple
T4645466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Law V |
E101761
|
entity |
| Predicate | symbolicallyFormulatedAs |
P29171
|
FINISHED |
| Object | ∀F∀G(Ext(F) = Ext(G) ↔ ∀x(Fx ↔ Gx)) |
—
|
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: ∀F∀G(Ext(F) = Ext(G) ↔ ∀x(Fx ↔ Gx)) | Statement: [Basic Law V, symbolicallyFormulatedAs, ∀F∀G(Ext(F) = Ext(G) ↔ ∀x(Fx ↔ Gx))]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicallyFormulatedAs Context triple: [Basic Law V, symbolicallyFormulatedAs, ∀F∀G(Ext(F) = Ext(G) ↔ ∀x(Fx ↔ Gx))]
-
A.
hasSymbolicForm
chosen
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
B.
mathematicallyFormulatedIn
Indicates that something is expressed, defined, or represented using mathematical formulas, equations, or formal mathematical structures within a given context.
-
C.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
D.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
-
E.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.