Triple
T13849372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 1055 |
E332892
|
entity |
| Predicate | frameDelimiter |
P38006
|
FINISHED |
| Object | END (0xC0) |
—
|
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: END (0xC0) | Statement: [RFC 1055, frameDelimiter, END (0xC0)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameDelimiter Context triple: [RFC 1055, frameDelimiter, END (0xC0)]
-
A.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
B.
blockDelimiter
chosen
Indicates that one entity serves as a boundary marker that starts, ends, or separates a logical block associated with another entity.
-
C.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
D.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
-
E.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.