Triple
T20255013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M (Australia) |
E498667
|
entity |
| Predicate | typicalContentLevel |
P118564
|
FINISHED |
| Object | moderate impact |
—
|
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: moderate impact | Statement: [M (Australia), typicalContentLevel, moderate impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalContentLevel Context triple: [M (Australia), typicalContentLevel, moderate impact]
-
A.
contentLevel
chosen
Indicates the degree or intensity of substance, complexity, or richness present in the associated content.
-
B.
typicalGradeLevel
Indicates the usual or most common educational grade level at which something (such as a concept, resource, or skill) is intended to be taught or is typically encountered.
-
C.
typicalHighestLevel
Indicates the usual or most common maximum level or degree that something typically reaches within a given context.
-
D.
commonLevel
Indicates that two or more entities share the same level, rank, or hierarchical position within a given system or structure.
-
E.
typicalIntermediateLevel
Indicates that something represents a common or standard degree of difficulty, complexity, or proficiency that falls between beginner and advanced levels.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.