Triple
T34174069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1927 Schneider Trophy |
E876618
|
entity |
| Predicate | secondPlacePilot |
P198768
|
FINISHED |
| Object | Oswald Short Kinkead |
—
|
NE NERFINISHED |
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: Oswald Short Kinkead | Statement: [1927 Schneider Trophy, secondPlacePilot, Oswald Short Kinkead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlacePilot Context triple: [1927 Schneider Trophy, secondPlacePilot, Oswald Short Kinkead]
-
A.
isSecondPilotOf
Indicates that one entity serves as the co-pilot or secondary pilot for another entity, typically an aircraft or flight.
-
B.
secondPlace
Indicates that an entity holds the position of runner-up or finishes in second place in a ranked ordering, competition, or comparison relative to others.
-
C.
secondRunnerUp
Indicates that one entity finished in third place in a competition or ranking relative to the others.
-
D.
secondEditionRunnerUp
Indicates that an entity finished as the runner-up (second place) in the second edition of a particular event or competition.
-
E.
secondPlaceTime
Indicates the time at which an entity achieved second place in a ranked event or competition.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
| PDg | Predicate description generation | batch_69ff04901ab081908b68563836fcdc99 |
completed | May 9, 2026, 9:55 a.m. |
Created at: May 1, 2026, 1:54 a.m.