Triple
T16119032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zolder Circuit |
E391083
|
entity |
| Predicate | F1LastGrandPrixYear |
P73556
|
FINISHED |
| Object | 1984 |
—
|
LITERAL FINISHED |
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: 1984 | Statement: [Zolder Circuit, F1LastGrandPrixYear, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1LastGrandPrixYear Context triple: [Zolder Circuit, F1LastGrandPrixYear, 1984]
-
A.
lastFormulaOneGrandPrixYear
chosen
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
-
B.
f1CareerEndYear
Indicates the year in which an individual's professional career in a given field or role came to an end.
-
C.
lastFormulaOneSeason
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
D.
F1ReturnYear
Indicates the year in which an entity’s F1 (Formula 1) participation or status returns or resumes.
-
E.
F1GrandsPrixEntered
Indicates the number of Formula 1 Grand Prix events that an entity has officially entered.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016d527c8190928e73661b18a914 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.