Triple
T24412450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autódromo do Estoril |
E615488
|
entity |
| Predicate | formerF1Venue |
P155827
|
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: [Autódromo do Estoril, formerF1Venue, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerF1Venue Context triple: [Autódromo do Estoril, formerF1Venue, true]
-
A.
previousF1FrenchGPLocation
Indicates that one location served as the venue for the immediately preceding Formula 1 French Grand Prix relative to another referenced race or event.
-
B.
oneOfOldestGrandsPrix
Indicates that the subject Grand Prix is among the earliest-established or longest-running Grand Prix races in existence.
-
C.
previousUSGrandPrixLocation
Indicates that one location served as the host of the United States Grand Prix immediately before another location.
-
D.
hasMotorRacingCircuit
Indicates that a location or entity possesses, contains, or is the site of a motor racing circuit.
-
E.
MonacoGrandPrixLocation
Indicates that a specified location is the venue where the Monaco Grand Prix takes place.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958241e48190ae33297c5c5c0e59 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:10 a.m.