Triple
T8118329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Console Command Processor (CCP) |
E189535
|
entity |
| Predicate | commandSeparator |
P11855
|
FINISHED |
| Object | carriage return |
—
|
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: carriage return | Statement: [Console Command Processor (CCP), commandSeparator, carriage return]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandSeparator Context triple: [Console Command Processor (CCP), commandSeparator, carriage return]
-
A.
codeSeparator
Indicates a relationship where one element serves to divide or distinguish segments of code from each other.
-
B.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
-
C.
separatesAt
Indicates that one entity divides or splits another entity into distinct parts at a specific point, boundary, or location.
-
D.
divisionLine
Indicates a boundary or separating line that divides one area, group, or portion from another.
-
E.
hasSeparator
chosen
Indicates that one entity includes, uses, or is divided by another entity that serves as a separator or delimiting element.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.