Triple
T30646097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brands Hatch |
E780122
|
entity |
| Predicate | GrandPrixCircuitTurns |
P170776
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Brands Hatch, GrandPrixCircuitTurns, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GrandPrixCircuitTurns Context triple: [Brands Hatch, GrandPrixCircuitTurns, 9]
-
A.
IndyCircuitTurns
Indicates that an Indy racing circuit includes a specified number or configuration of turns.
-
B.
GrandPrixCircuitLengthKm
Indicates the total length, measured in kilometers, of a Grand Prix racing circuit.
-
C.
grandPrixNumberInHistory
Indicates the ordinal position of a particular Grand Prix within the overall historical sequence of all Grand Prix events.
-
D.
raceNumberAtTrack
Indicates the specific ordinal number assigned to a race within the sequence of races held at a particular track.
-
E.
safetyCarLaps
Indicates the number of laps in a race that were completed under safety car conditions.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:29 p.m.