Triple
T9497030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RRQ |
E229034
|
entity |
| Predicate | modeExamples |
P88941
|
FINISHED |
| Object | netascii |
—
|
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: netascii | Statement: [RRQ, modeExamples, netascii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeExamples Context triple: [RRQ, modeExamples, netascii]
-
A.
toolUseExamples
Indicates that one entity provides example instances or demonstrations of how a particular tool is or can be used by another entity.
-
B.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
C.
usagePattern
Indicates how something is typically used or the recurring manner in which it is employed or consumed.
-
D.
modeADescription
Indicates the descriptive text or explanation associated with a particular mode of operation or state.
-
E.
modeBDescription
Indicates the descriptive label or explanation associated with a specific operational or behavioral mode B.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ecf4148190aa8f4733980166ae |
completed | April 1, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca8c6b0f081908334d6c7cf80e03c |
completed | April 1, 2026, 5:10 a.m. |
Created at: March 30, 2026, 7:56 p.m.