Triple
T12600299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergisches Land |
E300838
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Dhünn |
E980419
|
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: Dhünn | Statement: [Bergisches Land, traversedByRiver, Dhünn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhünn Context triple: [Bergisches Land, traversedByRiver, Dhünn]
-
A.
Dhünn
chosen
Dhünn is a river in North Rhine-Westphalia, Germany, that flows through the city of Leverkusen and serves as a tributary of the Wupper.
-
B.
Zihl
Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
-
C.
Horgau
Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Hainichen
Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
-
E.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66869c0b08190b13bcebbe354cd98 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:09 p.m.