Triple
T36149066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIA Friendly and Inclusive Spaces Awards |
E1045533
|
entity |
| Predicate | typicalJuryComposition |
—
|
GENERATED |
| Object | architects |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalJuryComposition Context triple: [UIA Friendly and Inclusive Spaces Awards, typicalJuryComposition, architects]
-
A.
juryComposition
chosen
Indicates the relationship specifying how a jury is constituted, including the number, type, or characteristics of its members.
-
B.
jurorDescription
Indicates that a person is described as serving or having served in the role of a juror, often including details about their status or characteristics in that capacity.
-
C.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
D.
hasJuryMembersFrom
Indicates that a legal case or trial includes jury members originating from a specified location or group.
-
E.
juryProvidedBy
Indicates that a particular jury is supplied, appointed, or made available by a specified source or authority.
- F. None of above.
Provenance (1 batch)
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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.