Triple
T9472437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorpesee |
E228424
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Sorpe |
E801394
|
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: Sorpe | Statement: [Sorpesee, outflow, Sorpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorpe Context triple: [Sorpesee, outflow, Sorpe]
-
A.
Sorpe
chosen
Sorpe is a river in North Rhine-Westphalia, Germany, that serves as a primary tributary feeding the Sorpesee reservoir.
-
B.
Butschbach
Butschbach is a small locality or district that forms part of the town of Oberkirch in southwestern Germany.
-
C.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
D.
Orisbach
Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
-
E.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fef6f288190b2d158c829b31de9 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ce6c7c88190825bf618f1f1f9b5 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.