Triple
T16763164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Wesel |
E407395
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Hünxe |
E1055487
|
NE 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: Hünxe | Statement: [district of Wesel, containsMunicipality, Hünxe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hünxe Context triple: [district of Wesel, containsMunicipality, Hünxe]
-
A.
Hünxe
chosen
Hünxe is a municipality in the Wesel district of North Rhine-Westphalia, Germany, known for its rural character and location within the Lower Rhine region.
-
B.
Huncke
Huncke is the surname of Herbert Huncke, an influential American writer and key figure of the Beat Generation whose life and stories deeply impacted authors like Jack Kerouac and William S. Burroughs.
-
C.
Hünfeld
Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
-
D.
Hunnebrock
Hunnebrock is a district (Stadtteil) of the town of Bünde in the German state of North Rhine-Westphalia.
-
E.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.