Triple
T29367336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrovian metamorphic zones |
E744753
|
entity |
| Predicate | canonicalExample |
P108356
|
FINISHED |
| Object | classic Scottish Barrovian sequence |
—
|
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: classic Scottish Barrovian sequence | Statement: [Barrovian metamorphic zones, canonicalExample, classic Scottish Barrovian sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalExample Context triple: [Barrovian metamorphic zones, canonicalExample, classic Scottish Barrovian sequence]
-
A.
isCanonicalExampleOf
Indicates that something serves as a standard or typical instance that exemplifies a concept, category, or pattern.
-
B.
standardExample
chosen
Indicates that something is a typical or canonical instance used to illustrate a general case or concept.
-
C.
centralExample
Indicates that one entity serves as the primary or most representative example of another entity or concept.
-
D.
baseExamples
Indicates that something serves as a fundamental or illustrative example for understanding or demonstrating another concept, item, or case.
-
E.
hasExample
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6698dd5a88190a090841574689d0b |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:24 p.m.