Triple
T17139642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming at-large congressional district |
E415929
|
entity |
| Predicate | hasRepresentationScope |
P126258
|
FINISHED |
| Object | statewide |
—
|
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: statewide | Statement: [Wyoming at-large congressional district, hasRepresentationScope, statewide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationScope Context triple: [Wyoming at-large congressional district, hasRepresentationScope, statewide]
-
A.
hasScope
Indicates that one entity defines, limits, or encompasses the range, extent, or applicability within which another entity operates or is valid.
-
B.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
C.
hasRepresentationFrom
Indicates that something serves as a representation, depiction, or encoding that originates from or is derived from another entity.
-
D.
hasRecognitionScope
Indicates the extent or context within which a recognition, award, or acknowledgment is valid or applies.
-
E.
hasBroadcastScope
Indicates that a broadcast is intended to reach a specified scope or range of recipients, areas, or contexts.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d318a88190aae8d776376c8053 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.