Triple
T3691369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | constructionism (learning theory) |
E78349
|
entity |
| Predicate | viewsKnowledgeAs |
P16769
|
FINISHED |
| Object | constructed through making |
—
|
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: constructed through making | Statement: [constructionism (learning theory), viewsKnowledgeAs, constructed through making]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsKnowledgeAs Context triple: [constructionism (learning theory), viewsKnowledgeAs, constructed through making]
-
A.
viewOnKnowledge
chosen
Indicates the perspective, stance, or opinion one entity holds regarding another entity’s knowledge or understanding.
-
B.
usesKnowledgeOf
Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
-
C.
knows
Indicates that one entity has knowledge or awareness of another entity or piece of information.
-
D.
positionOnKnowledge
Indicates the stance, viewpoint, or level of agreement an entity holds regarding a particular piece or body of knowledge.
-
E.
visionOf
Indicates that one entity is a visual representation, image, or depiction 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.