Triple
T26966699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RP |
E679190
|
entity |
| Predicate | acceptanceCondition |
P161385
|
FINISHED |
| Object | if x is in the language then the machine accepts x with probability at least 1/2 |
—
|
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: if x is in the language then the machine accepts x with probability at least 1/2 | Statement: [RP, acceptanceCondition, if x is in the language then the machine accepts x with probability at least 1/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptanceCondition Context triple: [RP, acceptanceCondition, if x is in the language then the machine accepts x with probability at least 1/2]
-
A.
supportsCondition
Indicates that one entity helps maintain, enable, or is compatible with a particular condition or state in another entity.
-
B.
hasAcceptance
Indicates that one entity has formally received, approved, or agreed to something offered, proposed, or requested by another entity.
-
C.
appointmentCondition
Indicates the specific terms, requirements, or circumstances that must be met or that apply for an appointment to be scheduled, valid, or carried out.
-
D.
authorizationCondition
Indicates the specific rules or requirements that must be satisfied for an action or access to be legally or formally authorized.
-
E.
acceptedFor
Indicates that one entity has been approved or admitted to receive, participate in, or be associated with another entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621210b788190ab9e910cd635f366 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:36 a.m.