Triple
T19531723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamming code |
E488671
|
entity |
| Predicate | messageLengthFormula |
P136670
|
FINISHED |
| Object | k = 2^r - r - 1 |
—
|
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: k = 2^r - r - 1 | Statement: [Hamming code, messageLengthFormula, k = 2^r - r - 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageLengthFormula Context triple: [Hamming code, messageLengthFormula, k = 2^r - r - 1]
-
A.
formLength
Indicates the length or extent of a form, typically measured in units such as characters, fields, or physical dimensions.
-
B.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
C.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
-
D.
patternLength
Indicates the length or size of a recurring pattern associated with an entity or process.
-
E.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
- 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.