Triple
T1056964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclidean space |
E22816
|
entity |
| Predicate | hasAngleDefinition |
P2185
|
FINISHED |
| Object | via dot product |
—
|
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: via dot product | Statement: [Euclidean space, hasAngleDefinition, via dot product]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAngleDefinition Context triple: [Euclidean space, hasAngleDefinition, via dot product]
-
A.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
-
B.
hasDefinition
chosen
Indicates that one entity provides the meaning, explanation, or definition of another entity.
-
C.
hasRelativeAngularMomentum
Indicates that one entity possesses angular momentum defined relative to another reference entity or frame.
-
D.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
E.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8da80dc8190b79beaf509910725 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.