Triple
T3781820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CA7 |
E85434
|
entity |
| Predicate | regionDescription |
P35829
|
FINISHED |
| Object | parts of the American Midwest |
—
|
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: parts of the American Midwest | Statement: [CA7, regionDescription, parts of the American Midwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionDescription Context triple: [CA7, regionDescription, parts of the American Midwest]
-
A.
describesRegion
chosen
Indicates that one entity provides a description or characterization of a particular region or area.
-
B.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
C.
regionType
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
D.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
E.
locationDescription
Indicates a textual description that specifies or characterizes the location of an entity.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.