Triple
T13824817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conference of Grand Masters of Masons in North America |
E332223
|
entity |
| Predicate | standardizedAspect |
P1371
|
FINISHED |
| Object | standards of regularity |
—
|
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: standards of regularity | Statement: [Conference of Grand Masters of Masons in North America, standardizedAspect, standards of regularity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardizedAspect Context triple: [Conference of Grand Masters of Masons in North America, standardizedAspect, standards of regularity]
-
A.
typicalAspect
Indicates that something represents a characteristic or commonly occurring aspect of another thing or situation.
-
B.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
C.
originalAspect
Indicates that one entity represents the initial or primary form, version, or facet from which another related entity is derived or viewed as a variation.
-
D.
standardizedBy
chosen
Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
-
E.
standardizedIn
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.