Triple
T5886126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARCA Menards Series |
E130865
|
entity |
| Predicate | includesTrackType |
P3832
|
FINISHED |
| Object | short tracks |
—
|
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: short tracks | Statement: [ARCA Menards Series, includesTrackType, short tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTrackType Context triple: [ARCA Menards Series, includesTrackType, short tracks]
-
A.
trackType
chosen
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
B.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
C.
usesTrackage
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
D.
trackingType
Indicates the method or category by which an entity’s movement, status, or progress is monitored or recorded.
-
E.
containsRideType
Indicates that one entity includes or offers a specific type or category of ride as part of its available options.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.