Triple
T35795716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1938 Swiss Grand Prix |
E1034823
|
entity |
| Predicate | thirdPlaceCar |
P191840
|
FINISHED |
| Object | Mercedes-Benz W154 |
—
|
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: Mercedes-Benz W154 | Statement: [1938 Swiss Grand Prix, thirdPlaceCar, Mercedes-Benz W154]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlaceCar Context triple: [1938 Swiss Grand Prix, thirdPlaceCar, Mercedes-Benz W154]
-
A.
thirdPlaceManufacturer
Indicates that the manufacturer is ranked third in position relative to other manufacturers in a specified context or competition.
-
B.
thirdPlaceRank
Indicates that an entity holds the third position in a ranking or ordered list relative to others.
-
C.
thirdPlacePrize
Indicates that an entity receives or is associated with the prize awarded for finishing in third place in a competition or ranking.
-
D.
thirdPlaceTeam
Indicates that a team finished in third place in a competition, league, or ranking.
-
E.
thirdPlaceSong
Indicates that a song holds or is assigned the third-place position in a ranking, contest, or ordered list.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.