Triple
T11068573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona legislative districts |
E261686
|
entity |
| Predicate | representationPerDistrictSenate |
P38391
|
FINISHED |
| Object | 1 state 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 state senator | Statement: [Arizona legislative districts, representationPerDistrictSenate, 1 state senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationPerDistrictSenate Context triple: [Arizona legislative districts, representationPerDistrictSenate, 1 state senator]
-
A.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
B.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
C.
eachDistrictElects
chosen
Indicates that every electoral district selects or chooses its own representative or set of representatives.
-
D.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
E.
stateOfCongressionalDistrict
Indicates the relationship where a specific congressional district is located within or belongs to a particular U.S. state.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.