Triple
T34174067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1927 Schneider Trophy |
E876618
|
entity |
| Predicate | secondPlaceAircraft |
P29125
|
FINISHED |
| Object | Supermarine S.5 (second machine) |
—
|
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: Supermarine S.5 (second machine) | Statement: [1927 Schneider Trophy, secondPlaceAircraft, Supermarine S.5 (second machine)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlaceAircraft Context triple: [1927 Schneider Trophy, secondPlaceAircraft, Supermarine S.5 (second machine)]
-
A.
secondPlace
chosen
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.
-
B.
secondBoat
Indicates that one entity is the second boat in a sequence or relative ordering with respect to another boat.
-
C.
additionalAircraft
Indicates that one aircraft is an extra or supplementary aircraft associated with another aircraft or flight operation.
-
D.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
E.
isSecondPilotOf
Indicates that one entity serves as the co-pilot or secondary pilot for another entity, typically an aircraft or flight.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: May 1, 2026, 1:54 a.m.