Triple
T2569529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma Senate |
E57630
|
entity |
| Predicate | hasLegislativeDistricts |
P13200
|
FINISHED |
| Object | 48 senatorial districts |
—
|
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: 48 senatorial districts | Statement: [Oklahoma Senate, hasLegislativeDistricts, 48 senatorial districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegislativeDistricts Context triple: [Oklahoma Senate, hasLegislativeDistricts, 48 senatorial districts]
-
A.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
B.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
C.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
D.
hasNumberOfConstituencies
chosen
Indicates the specific count of constituencies associated with an entity.
-
E.
servesStateOrDistrict
Indicates that an entity holds a role or position in service to a specific state or electoral district.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd380d6e081909c124e8a0b7feef3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.