Triple
T24598648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanuatu sand drawings |
E608751
|
entity |
| Predicate | cognitiveAspect |
P9643
|
FINISHED |
| Object | spatial memory training |
—
|
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: spatial memory training | Statement: [Vanuatu sand drawings, cognitiveAspect, spatial memory training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cognitiveAspect Context triple: [Vanuatu sand drawings, cognitiveAspect, spatial memory training]
-
A.
hasCognitiveComponent
chosen
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
-
B.
conceptualAspect
Indicates that one entity represents an abstract, conceptual, or non-physical aspect, feature, or dimension of another entity.
-
C.
highestCognitiveState
Indicates that an entity is in the most advanced or peak level of cognitive functioning or mental state relative to other possible cognitive states.
-
D.
cultAspect
Indicates that one entity represents a specific aspect, facet, or manifestation of a cult associated with another entity.
-
E.
typeOfIntelligence
Indicates that one entity is a specific kind or category of intelligence in relation to 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.