Triple
T33045285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 United States Grand Prix |
E845576
|
entity |
| Predicate | thirdPlaceDriverCountry |
P53960
|
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: [1969 United States Grand Prix, thirdPlaceDriverCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlaceDriverCountry Context triple: [1969 United States Grand Prix, thirdPlaceDriverCountry, United Kingdom]
-
A.
thirdPlaceCountry
chosen
Indicates the country that finished in third place in a given competition or ranking.
-
B.
thirdPlaceCountryCode
Indicates the country (by its code) that finished in third place in a given competition or ranking.
-
C.
thirdWinnerCountry
Indicates the country associated with the entity that placed third in a competition or ranking.
-
D.
thirdPlaceNationality
Indicates the nationality of the entity that finished in third place in a competition or ranking.
-
E.
thirdPlaceRank
Indicates that an entity holds the third position in a ranking or ordered list relative to others.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:24 a.m.