Triple
T26253886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | extended binary Golay code |
E656668
|
entity |
| Predicate | shortenedVersion |
P136939
|
FINISHED |
| Object | binary Golay code [23,12,7] |
—
|
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: binary Golay code [23,12,7] | Statement: [extended binary Golay code, shortenedVersion, binary Golay code [23,12,7]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortenedVersion Context triple: [extended binary Golay code, shortenedVersion, binary Golay code [23,12,7]]
-
A.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
B.
reducedVersionOf
chosen
Indicates that one entity is a simplified, shortened, or otherwise less extensive form of another entity while preserving its essential content or function.
-
C.
shortenedInService
Indicates that an entity’s length, duration, or extent has been reduced as a result of its use or operation in service.
-
D.
shortFormat
Indicates that something is presented in a condensed or abbreviated form compared to its full or standard representation.
-
E.
expandedVersionTitle
Indicates that one title is the name used for an expanded or extended version of another work.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcc29cc81908880bd825cb12141 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:08 p.m.