Triple
T35752248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 European Grand Prix |
E1033347
|
entity |
| Predicate | hostedOnStreetCircuit |
P133058
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2016 European Grand Prix, hostedOnStreetCircuit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedOnStreetCircuit Context triple: [2016 European Grand Prix, hostedOnStreetCircuit, true]
-
A.
hasMotorRacingCircuit
Indicates that a location or entity possesses, contains, or is the site of a motor racing circuit.
-
B.
hostedByCircuit
chosen
Indicates that an event, activity, or process is organized, managed, or carried out under the responsibility or auspices of a particular circuit.
-
C.
hasStreetCircuitCharacteristics
Indicates that something possesses qualities or features typical of a street circuit, such as being laid out on public roads and having characteristics associated with that type of racing venue.
-
D.
isStreetCircuitSection
Indicates that a given track segment is part of a street circuit section, i.e., a portion of a racing course laid out on public roads.
-
E.
sitsOnStreet
Indicates that an entity is located or positioned directly on a street surface.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a197aee48190bbd69f670a3f7721 |
completed | May 3, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.