Triple
T7665803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State (design pattern) |
E173619
|
entity |
| Predicate | typicalContextClassResponsibility |
P39989
|
FINISHED |
| Object | maintain current state |
—
|
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: maintain current state | Statement: [State (design pattern), typicalContextClassResponsibility, maintain current state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalContextClassResponsibility Context triple: [State (design pattern), typicalContextClassResponsibility, maintain current state]
-
A.
primaryFunctionContext
Indicates the main situational or operational context in which a function, role, or process is primarily intended to be used or performed.
-
B.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
C.
canonicalContext
Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
-
D.
typicalAppearanceContext
chosen
Indicates the usual situation, setting, or context in which an entity most commonly appears or is typically encountered.
-
E.
isRaisedInContextOf
Indicates that an entity is brought up, discussed, or introduced within a particular situational, thematic, or conversational context.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.