Triple
T35931364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rüfenach |
E1039171
|
entity |
| Predicate | electionDistrict |
P199900
|
FINISHED |
| Object | canton of Aargau |
—
|
NE NERFINISHED |
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: canton of Aargau | Statement: [Rüfenach, electionDistrict, canton of Aargau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionDistrict Context triple: [Rüfenach, electionDistrict, canton of Aargau]
-
A.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
B.
electoralAreaOf
Indicates that a given electoral area (such as a district or ward) is the designated electoral division associated with a particular jurisdiction or entity.
-
C.
districtOfState
Indicates that a district is an administrative subdivision belonging to, and located within, a particular state.
-
D.
electoralDistrictIncludes
Indicates that a given electoral district geographically contains or encompasses a specified area or location.
-
E.
legislativeDistrictOf
Indicates that a specified geographic or political area is the legislative district in which a given entity (such as a person, organization, or location) is situated or represented.
- 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff63225b6481909217ad11b4f7d3ba |
completed | May 9, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ff60e0882c819085d097010db43ee0 |
completed | May 9, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69ff632176b0819084610ae2e57ab679 |
completed | May 9, 2026, 4:38 p.m. |
Created at: May 3, 2026, 4:07 p.m.