Triple
T20102795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwerte |
E496588
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Unna district |
—
|
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: Unna district | Statement: [Schwerte, locatedIn, Unna district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unna district Context triple: [Schwerte, locatedIn, Unna district]
-
A.
Unna district
chosen
Unna district is a Landkreis in the German state of North Rhine-Westphalia, located in the eastern Ruhr area and known for its mix of industrial towns and suburban communities.
-
B.
Bilasuvar District
Bilasuvar District is an administrative region in southern Azerbaijan known for its agricultural activities and location near the Iranian border.
-
C.
Tillo District
Tillo District is an administrative district in southeastern Turkey known for its historical and religious significance within Siirt Province.
-
D.
Lillafüred district
Lillafüred district is a scenic neighborhood of Miskolc in northeastern Hungary, known for its lakeside setting, historic hotel, and surrounding Bükk Mountains.
-
E.
Hallunda district
Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.