Triple
T2820854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langer See, Grünau |
E54804
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | River Dahme |
E301765
|
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: River Dahme | Statement: [Langer See, Grünau, watercourse, River Dahme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Dahme Context triple: [Langer See, Grünau, watercourse, River Dahme]
-
A.
River Dahme
chosen
River Dahme is a tributary of the River Spree in eastern Germany, flowing through Brandenburg and Berlin and forming several lakes and waterways used for recreation and transport.
-
B.
Deûle River
The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
-
C.
river Selle
The river Selle is a small watercourse in northern France that flows through the Hauts-de-France region and several historic towns before joining the Scheldt basin.
-
D.
Diemel
The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
-
E.
Buëch River
The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde6e85008190a08eb2bf8e393e7e |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8b344ec8190948b26a5101fb183 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 9:59 p.m.