Triple
T11225843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crash Team Racing Nitro-Fueled |
E265689
|
entity |
| Predicate | hasCameraPerspective |
P8789
|
FINISHED |
| Object | third-person |
—
|
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: third-person | Statement: [Crash Team Racing Nitro-Fueled, hasCameraPerspective, third-person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCameraPerspective Context triple: [Crash Team Racing Nitro-Fueled, hasCameraPerspective, third-person]
-
A.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
-
B.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
-
C.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
D.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
E.
hasViewingAngles
Indicates that one entity possesses or is characterized by specific viewing angles relative to another entity or reference frame.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ee15d4819087449058addef597 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.