Triple
T6833347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i |
E157389
|
entity |
| Predicate | orthogonalTo |
P2055
|
FINISHED |
| Object | 1 in the standard inner product on C |
—
|
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: 1 in the standard inner product on C | Statement: [i, orthogonalTo, 1 in the standard inner product on C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orthogonalTo Context triple: [i, orthogonalTo, 1 in the standard inner product on C]
-
A.
perpendicularTo
chosen
Indicates that one entity is oriented at a right angle (90 degrees) to another entity.
-
B.
orientedParallelTo
Indicates that one entity is parallel to another with a specified or consistent direction or orientation.
-
C.
orthonormalityRelation
Indicates that a set of vectors are mutually orthogonal and each has unit length with respect to a given inner product.
-
D.
isParallelWithRespectTo
Indicates that two or more entities maintain a constant separation and never intersect within a specified reference or coordinate system.
-
E.
isInDirectionOf
Indicates that one entity is oriented or positioned toward the direction in which another entity lies.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.