Triple
T4384494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain Grand Prix |
E99207
|
entity |
| Predicate | approxRaceDistance |
P20127
|
FINISHED |
| Object | around 308 km |
—
|
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: around 308 km | Statement: [Bahrain Grand Prix, approxRaceDistance, around 308 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxRaceDistance Context triple: [Bahrain Grand Prix, approxRaceDistance, around 308 km]
-
A.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
B.
majorRaceDistance
chosen
Indicates the standard or primary distance over which a major race or competition is contested.
-
C.
typicalRaceDistanceLaps
Indicates the usual number of laps that constitute the standard race distance for a given racing event or category.
-
D.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
E.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
- 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.