Triple
T17654438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit Gilles-Villeneuve |
E429583
|
entity |
| Predicate | pitLaneLocation |
P124124
|
FINISHED |
| Object | inside of main straight |
—
|
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: inside of main straight | Statement: [Circuit Gilles-Villeneuve, pitLaneLocation, inside of main straight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pitLaneLocation Context triple: [Circuit Gilles-Villeneuve, pitLaneLocation, inside of main straight]
-
A.
hasPitLane
Indicates that a racing circuit, track, or similar facility includes a designated pit lane area for vehicle servicing and related activities.
-
B.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
C.
hasLightningLane
Indicates that an attraction, experience, or location offers access via a Lightning Lane queue or reservation system.
-
D.
segmentLocation
chosen
Indicates the spatial or positional relationship specifying where a particular segment is located within a larger structure or context.
-
E.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3fc6e8819080098a3cd0183811 |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:05 a.m.