Triple
T32498217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Composability framework |
E830582
|
entity |
| Predicate | capturesScenario |
P57928
|
FINISHED |
| Object | concurrent protocol executions |
—
|
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: concurrent protocol executions | Statement: [Universal Composability framework, capturesScenario, concurrent protocol executions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesScenario Context triple: [Universal Composability framework, capturesScenario, concurrent protocol executions]
-
A.
scenarioType
Indicates the specific category or kind of situation, context, or use case that an entity or event is associated with.
-
B.
snapSituation
Indicates a situation or context in which a sudden, decisive, or snapshot-like event or state occurs between entities.
-
C.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
D.
captureCondition
Indicates the specific circumstances or criteria under which a capture event or action is triggered or considered valid.
-
E.
capturesPhenomenon
chosen
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c4409dc48190a9eac031b88571a1 |
completed | May 3, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.