Triple
T18682021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN |
E456755
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | District of Unna |
—
|
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: District of Unna | Statement: [UN, region, District of Unna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: District of Unna Context triple: [UN, region, District of Unna]
-
A.
Regen District
Regen District is an administrative district in the Bavarian Forest region of Bavaria, Germany, known for its wooded landscapes and proximity to the Czech border.
-
B.
district of Unna
chosen
The district of Unna is an administrative district in the German state of North Rhine-Westphalia, situated in the eastern Ruhr area and encompassing several towns and municipalities including Lünen.
-
C.
Senec District
Senec District is an administrative district in western Slovakia, known for its rapidly developing suburban areas and popular recreational lakes near the capital city of Bratislava.
-
D.
Lunan District
Lunan District is an urban administrative district within the city of Tangshan in Hebei Province, China.
-
E.
Van Aken District
Van Aken District is a mixed-use urban hub in Shaker Heights, Ohio, featuring shops, restaurants, offices, and residential spaces centered around the city’s historic transit corridor.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2906ec8190ad8db8e3ae6b2945 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.