Triple
T32284096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missouri's 9th congressional district |
E824776
|
entity |
| Predicate | representedRegionType |
P1828
|
FINISHED |
| Object | congressional district |
—
|
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: congressional district | Statement: [Missouri's 9th congressional district, representedRegionType, congressional district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedRegionType Context triple: [Missouri's 9th congressional district, representedRegionType, congressional district]
-
A.
represented region
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
B.
reportedRegion
Indicates that a specified region is the one referenced or identified in a report or reporting context.
-
C.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
-
D.
regionType
chosen
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
E.
politicalRegionType
Indicates the classification of a political region according to its governmental or administrative type (e.g., state, province, municipality).
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 1, 2026, 12:43 a.m.