Triple
T23462724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac string |
E569023
|
entity |
| Predicate | singularityLocationExample |
P71450
|
FINISHED |
| Object | θ = π (negative z-axis) in standard Dirac monopole gauge |
—
|
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: θ = π (negative z-axis) in standard Dirac monopole gauge | Statement: [Dirac string, singularityLocationExample, θ = π (negative z-axis) in standard Dirac monopole gauge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singularityLocationExample Context triple: [Dirac string, singularityLocationExample, θ = π (negative z-axis) in standard Dirac monopole gauge]
-
A.
locationOfExamples
Indicates that something serves as the place or context where examples of a particular type, concept, or item can be found.
-
B.
locationExample
chosen
Indicates that one entity serves as an example or illustrative instance of a particular location associated with another entity.
-
C.
implementationLocation
Indicates the place or environment where something is implemented, carried out, or put into effect.
-
D.
locationOfSee
Indicates a relationship where a particular place is the setting or site in which an act of seeing or visual perception occurs.
-
E.
deploymentLocation
Indicates the place or environment where something (such as a system, resource, or component) is deployed or put into operational use.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69cf7c48190b4d44e500f955b99 |
completed | April 29, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:54 p.m.