Triple
T13312573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harkortsee |
E317106
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Wetter (Ruhr) |
E990678
|
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: Wetter (Ruhr) | Statement: [Harkortsee, locatedNear, Wetter (Ruhr)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wetter (Ruhr) Context triple: [Harkortsee, locatedNear, Wetter (Ruhr)]
-
A.
Wetter (Ruhr)
chosen
Wetter (Ruhr) is a town in North Rhine-Westphalia, Germany, situated on the Ruhr River and known for its industrial heritage and scenic surroundings.
-
B.
Wetter (Hessen)
Wetter (Hessen) is a small town in the Marburg-Biedenkopf district of the German state of Hesse, known for its rural character and proximity to the university city of Marburg.
-
C.
Wetteren
Wetteren is a municipality in the East Flanders province of Belgium, situated along the River Scheldt and known for its horticulture and residential character.
-
D.
Remscheid
Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
-
E.
Gelsenkirchen
Gelsenkirchen is a city in western Germany known for its strong football culture and modern stadium, Veltins-Arena, home to FC Schalke 04.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e7b9a48190a33b04df8ad45ed8 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.