Triple
T10020669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Thomas Assembly |
E200601
|
entity |
| Predicate | bodyStyleProduced |
P91735
|
FINISHED |
| Object | four-door sedans |
—
|
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: four-door sedans | Statement: [St. Thomas Assembly, bodyStyleProduced, four-door sedans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyStyleProduced Context triple: [St. Thomas Assembly, bodyStyleProduced, four-door sedans]
-
A.
bodyStyleCategory
Indicates the general body style classification or category that an item (such as a vehicle or product) belongs to.
-
B.
usesProductionStyle
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
C.
bodyStyleHistory
Indicates the historical record of changes or versions in an entity’s body style over time.
-
D.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
-
E.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd777b208190ad75eac79eec0c2f |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:53 p.m.