Triple
T12206568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accept-Charset |
E290850
|
entity |
| Predicate | canBeOmitted |
P93023
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Accept-Charset, canBeOmitted, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeOmitted Context triple: [Accept-Charset, canBeOmitted, yes]
-
A.
mayBeOmittedWhen
Indicates that one element is allowed to be left out or excluded under certain conditions defined by another element or context.
-
B.
canBeStripped
Indicates that one entity is capable of having an outer layer, covering, or component removed from it.
-
C.
canBeRemovedBy
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
-
D.
canSuppress
Indicates that one entity has the ability or capacity to prevent, inhibit, or reduce the effect, activity, or expression of another entity or process.
-
E.
canBeDeleted
chosen
Indicates that the referenced entity is eligible or permitted to be removed from the system.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.