Triple
T38496979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swisttal |
E919720
|
entity |
| Predicate | hasPoliticalDistrict |
P136654
|
FINISHED |
| Object | Rhein-Sieg-Kreis |
—
|
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: Rhein-Sieg-Kreis | Statement: [Swisttal, hasPoliticalDistrict, Rhein-Sieg-Kreis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalDistrict Context triple: [Swisttal, hasPoliticalDistrict, Rhein-Sieg-Kreis]
-
A.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
B.
legislativeDistrictOf
chosen
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.
-
C.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
D.
meetsInDistrict
Indicates that two or more entities hold a meeting within the boundaries of a specified administrative district.
-
E.
electoralDistrictIncludes
Indicates that a given electoral district geographically contains or encompasses a specified area or location.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
Created at: May 3, 2026, 4:31 p.m.