Triple
T24739347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta Motor Speedway |
E618507
|
entity |
| Predicate | hasDragStripNearby |
P105666
|
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: [Atlanta Motor Speedway, hasDragStripNearby, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDragStripNearby Context triple: [Atlanta Motor Speedway, hasDragStripNearby, true]
-
A.
hasDragStrip
chosen
Indicates that one entity includes, contains, or is equipped with a drag strip used for drag racing.
-
B.
hasDragStripLength
Indicates the length measurement of a drag strip associated with an entity.
-
C.
hasStripePattern
Indicates that one entity exhibits a stripe-like visual pattern on its surface or body.
-
D.
hasDropTrack
Indicates that an entity includes or is associated with a track or section where a drop (sudden descent or fall) occurs.
-
E.
hasTactileStripsOnPlatformEdges
Indicates that tactile strips are present along the edges of a platform to provide a detectable boundary or warning surface.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:04 a.m.