Triple
T23126080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire Motor Speedway |
E577032
|
entity |
| Predicate | infieldUse |
P151016
|
FINISHED |
| Object | garage and support facilities |
—
|
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: garage and support facilities | Statement: [New Hampshire Motor Speedway, infieldUse, garage and support facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infieldUse Context triple: [New Hampshire Motor Speedway, infieldUse, garage and support facilities]
-
A.
infieldSurface
Indicates that one entity serves as the playing surface material or type for the infield area of another entity (such as a sports field or stadium).
-
B.
hasInfield
Indicates that an entity possesses or includes a designated infield area, typically within a larger spatial or structural context.
-
C.
infieldCapacity
Indicates the maximum number of entities that can be accommodated within a defined infield area or region.
-
D.
usesInfieldRoadCourse
Indicates that something incorporates or operates on an infield road course as part of its route or layout.
-
E.
usesInnings
Indicates that one entity employs or incorporates another entity within the context or structure of innings (e.g., in a game, match, or statistical framework).
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5482588190b95b36075ecc7f24 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.