Triple
T2381987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona Senate |
E46329
|
entity |
| Predicate | eachDistrictElects |
P38391
|
FINISHED |
| Object | 1 senator |
—
|
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: 1 senator | Statement: [Arizona Senate, eachDistrictElects, 1 senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachDistrictElects Context triple: [Arizona Senate, eachDistrictElects, 1 senator]
-
A.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
-
B.
electoralDistrictType
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
C.
representedElectoralDistrict
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
D.
servedDistrict
Indicates that an entity has provided official service or representation to a particular district.
-
E.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:57 p.m.