Triple
T4384523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain International Circuit |
E99208
|
entity |
| Predicate | firstHostedFormulaOneGrandPrix |
P54565
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Bahrain International Circuit, firstHostedFormulaOneGrandPrix, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHostedFormulaOneGrandPrix Context triple: [Bahrain International Circuit, firstHostedFormulaOneGrandPrix, 2004]
-
A.
firstFormulaOneGrandPrix
chosen
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
B.
totalFormulaOneStarts
Indicates the total number of times an entity has started in Formula One races.
-
C.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
-
D.
firstEditionHeldIn
Indicates the location where the first edition or initial occurrence of an event was held.
-
E.
firstGrandTourEstablished
Indicates that an entity initiated or created the earliest instance of a particular Grand Tour.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35263970c8190904ee20d81715833 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.