Triple
T18915316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homestead-Miami Speedway |
E462709
|
entity |
| Predicate | trackLengthOvalKilometres |
P33049
|
FINISHED |
| Object | 2.41 |
—
|
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: 2.41 | Statement: [Homestead-Miami Speedway, trackLengthOvalKilometres, 2.41]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackLengthOvalKilometres Context triple: [Homestead-Miami Speedway, trackLengthOvalKilometres, 2.41]
-
A.
trackLengthApproxKm
Indicates that one entity has an approximate track length, measured in kilometers, associated with it.
-
B.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
C.
perimeterRunningTrackLength
Indicates the length of a running track that follows the perimeter of a given area or facility.
-
D.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
E.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62685408190b17280147e1c247a |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.