Triple
T32194024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Farver |
E822349
|
entity |
| Predicate | primaryChallenge |
P206226
|
FINISHED |
| Object | returning aircraft and passengers to correct time |
—
|
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: returning aircraft and passengers to correct time | Statement: [Captain Farver, primaryChallenge, returning aircraft and passengers to correct time]
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 (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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:35 a.m.