Triple
T26253891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | extended binary Golay code |
E656668
|
entity |
| Predicate | hasCodewordsOfWeight |
P194234
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [extended binary Golay code, hasCodewordsOfWeight, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodewordsOfWeight Context triple: [extended binary Golay code, hasCodewordsOfWeight, 0]
-
A.
parityOfCodewords
Indicates that the relationship concerns whether the number of codewords (or bits within them) is even or odd, i.e., their parity.
-
B.
codeword
Indicates that one entity serves as a codeword or encoded representation used to convey, reference, or stand in for another entity within a coding or communication system.
-
C.
hasMinimumWeight
Indicates that an entity’s weight meets or exceeds a specified minimum threshold.
-
D.
hasNumberOfLetters
Indicates a relationship where an entity is associated with the count of letters it contains.
-
E.
hasCodeLetters
Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
| PDg | Predicate description generation | batch_69fd68ab21a0819096bfc4a8c14851ad |
completed | May 8, 2026, 4:38 a.m. |
Created at: April 26, 2026, 9:08 p.m.