Triple
T25371901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFA |
E632951
|
entity |
| Predicate | cannotRecognize |
P9197
|
FINISHED |
| Object | non-regular languages |
—
|
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: non-regular languages | Statement: [NFA, cannotRecognize, non-regular languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotRecognize Context triple: [NFA, cannotRecognize, non-regular languages]
-
A.
notRecognizedBy
chosen
Indicates that one entity does not acknowledge, accept, or formally recognize the status, authority, or validity of another entity.
-
B.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
C.
cannotRepresent
Indicates that one entity is not able or not permitted to act as a representative or stand-in for another entity in a given context.
-
D.
lostRecognitionTo
Indicates that one entity no longer holds a title, status, or recognition because it has been transferred or conceded to another entity.
-
E.
recognizedSee
Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:38 p.m.