Triple
T35916996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 World Rally Championship season |
E1038775
|
entity |
| Predicate | runnerUpDriverNationality |
P147635
|
FINISHED |
| Object | Spain |
—
|
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: Spain | Statement: [1997 World Rally Championship season, runnerUpDriverNationality, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpDriverNationality Context triple: [1997 World Rally Championship season, runnerUpDriverNationality, Spain]
-
A.
runnerUpClubNationality
Indicates the nationality associated with the club that finished as runner-up in a competition or event.
-
B.
runnerUpCountry
Indicates the country that finished in second place in a competition or ranking.
-
C.
secondPlaceDriverNationality
chosen
Indicates the nationality of the driver who finished in second place in a given race or event.
-
D.
runnerUpDriver
Indicates that one driver finished in second place relative to others in a race or competition.
-
E.
runnerUpBasedIn
Indicates that an entity serving as a runner-up is located in or associated with a particular place or base of operations.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa69e2c8190aad5087427023959 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.