Triple
T13825459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masonic degrees |
E332236
|
entity |
| Predicate | varyBy |
P51402
|
FINISHED |
| Object | country |
—
|
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: country | Statement: [Masonic degrees, varyBy, country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: varyBy Context triple: [Masonic degrees, varyBy, country]
-
A.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
B.
compositionVariesBy
Indicates that the composition of something differs depending on a specified factor, condition, or context.
-
C.
yieldsViaVariation
Indicates that one entity produces or results in another through a process of variation or modification.
-
D.
structureVariesBy
chosen
Indicates that the structure or configuration of one entity changes depending on or is different for another specified factor or context.
-
E.
hasVariability
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
- 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.