Triple
T32194024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Farver |
E822349
|
entity |
| Predicate | primaryChallenge |
—
|
GENERATED |
| Object | returning aircraft and passengers to correct time |
—
|
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: primaryChallenge Context triple: [Captain Farver, primaryChallenge, returning aircraft and passengers to correct time]
-
A.
primaryChallengers
Indicates that certain entities are the main or most significant opponents or competitors challenging another entity.
-
B.
primaryIssue
Indicates that the related item is the main or most important issue among a set of issues.
-
C.
primaryCatch
Indicates that an entity is the main or most significant target, recipient, or object captured or obtained in a given context.
-
D.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
-
E.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
- F. None of above. chosen
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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:35 a.m.