Triple
T19531720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamming code |
E488671
|
entity |
| Predicate | parityCheckMatrixProperty |
P136668
|
FINISHED |
| Object | any two columns are linearly independent |
—
|
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: any two columns are linearly independent | Statement: [Hamming code, parityCheckMatrixProperty, any two columns are linearly independent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parityCheckMatrixProperty Context triple: [Hamming code, parityCheckMatrixProperty, any two columns are linearly independent]
-
A.
parityProperty
Indicates that a relationship or quantity has a specific parity (such as being even, odd, or matching in parity) according to the defined property.
-
B.
hasParity
Indicates that two entities share the same parity property (e.g., both even or both odd) with respect to a specified attribute or value.
-
C.
parityBits
Indicates that there is an association between data and the parity bits used to detect or correct errors in that data.
-
D.
hasParityPatterns
Indicates that there is a specific pattern or regularity in the parity (odd/even characteristics) associated with the related entities.
-
E.
orthogonalityProperty
Indicates that one entity possesses the property of being orthogonal (i.e., at right angles or having zero inner product) with respect to another entity or a given reference.
- F. None of above. chosen
Provenance (4 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363fd1f8819080805346efad2579 |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:41 p.m.