Triple
T34174061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1927 Schneider Trophy |
E876618
|
entity |
| Predicate | competingNation |
P84622
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [1927 Schneider Trophy, competingNation, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competingNation Context triple: [1927 Schneider Trophy, competingNation, United Kingdom]
-
A.
competesForNation
chosen
Indicates that an entity participates in a competition or contest on behalf of a specified nation.
-
B.
primaryCompetitionCountry
Indicates the main country in which an entity primarily conducts or participates in competitive activities or markets.
-
C.
opponentNationality
Indicates that the related entity is the country or nationality of the opponent in a competitive or adversarial context.
-
D.
primaryNationalTeamCompetition
Indicates the main international competition in which a national team primarily participates or is most prominently represented.
-
E.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
- 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_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 1:54 a.m.