Triple
T2956152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ion 2 |
E79935
|
entity |
| Predicate | bodyStyleOption |
P8243
|
FINISHED |
| Object | 4-door sedan |
—
|
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: 4-door sedan | Statement: [Ion 2, bodyStyleOption, 4-door sedan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyStyleOption Context triple: [Ion 2, bodyStyleOption, 4-door sedan]
-
A.
primaryBodyStyle
chosen
Indicates the main or predominant body configuration or structural form associated with an entity.
-
B.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
C.
winnerBodyStyle
Indicates that one entity is the body style (e.g., sedan, SUV) associated with the winning entry or outcome in a competition or selection.
-
D.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
E.
bodyConfiguration
Indicates the specific physical arrangement, posture, or structural setup of an entity’s body in relation to its parts or environment.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992998f08190ac9428310983172e |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.