Triple
T20721582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM mid-size SUV family |
E509326
|
entity |
| Predicate | platformSize |
P141256
|
FINISHED |
| Object | mid-size |
—
|
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: mid-size | Statement: [GM mid-size SUV family, platformSize, mid-size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformSize Context triple: [GM mid-size SUV family, platformSize, mid-size]
-
A.
platformLength
Indicates that one entity specifies the physical length or extent of a platform associated with another entity.
-
B.
platformHeight
Indicates the vertical distance or elevation of a platform relative to a defined reference level.
-
C.
platformModel
Indicates that one entity serves as the underlying platform or foundational model upon which the other entity is built, operates, or depends.
-
D.
platformUsedFor
Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of another entity.
-
E.
platformAppearsOn
Indicates that a particular platform is present, visible, or available within or on another specified context, medium, or environment.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d6bdcc8190ba42c44159a2c0d5 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:27 p.m.