Triple
T4597316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kronecker delta |
E100234
|
entity |
| Predicate | logicalInterpretation |
P4940
|
FINISHED |
| Object | truth value of equality between indices |
—
|
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: truth value of equality between indices | Statement: [Kronecker delta, logicalInterpretation, truth value of equality between indices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalInterpretation Context triple: [Kronecker delta, logicalInterpretation, truth value of equality between indices]
-
A.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
B.
requiresInterpretationInLightOf
Indicates that something must be understood, evaluated, or applied by considering it in the context or framework provided by another thing.
-
C.
interpretedInCase
Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
-
D.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
E.
logicalForm
chosen
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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59420c108190b5c2c5039e964da5 |
completed | March 20, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.