Triple
T33057089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octet Encoding Rules |
E845871
|
entity |
| Predicate | lengthStyle |
P175757
|
FINISHED |
| Object | fixed-length |
—
|
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: fixed-length | Statement: [Octet Encoding Rules, lengthStyle, fixed-length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthStyle Context triple: [Octet Encoding Rules, lengthStyle, fixed-length]
-
A.
lengthClass
Indicates a classification relationship where an entity is assigned to a category based on its length.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
lineLengthType
Indicates the type or category used to characterize the length of a line.
-
D.
lengthRegime
Indicates a specific range or category of length within which something operates, is measured, or is classified.
-
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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:25 a.m.