Triple
T10379835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werse |
E244607
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Kleine Werse
Kleine Werse is a small tributary stream of the Werse River in North Rhine-Westphalia, Germany.
|
E859416
|
NE FINISHED |
How this triple was built (4 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: Kleine Werse | Statement: [Werse, hasTributary, Kleine Werse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleine Werse Context triple: [Werse, hasTributary, Kleine Werse]
-
A.
Little Wiese
Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
-
B.
De Wieden
De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
-
C.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
D.
La Rippe
La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
-
E.
Wielenbach
Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kleine Werse Triple: [Werse, hasTributary, Kleine Werse]
Generated description
Kleine Werse is a small tributary stream of the Werse River in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleine Werse Target entity description: Kleine Werse is a small tributary stream of the Werse River in North Rhine-Westphalia, Germany.
-
A.
Little Wiese
Little Wiese is a smaller section or subdivision of the Wiese river system in Central Europe.
-
B.
De Wieden
De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
-
C.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
D.
La Rippe
La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
-
E.
Wielenbach
Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
- F. None of above. chosen
Provenance (5 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7958803e88190a7bbeda4f2c6f32c |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d79784baa481909e57adda27578cc2 |
completed | April 9, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7989f8dfc8190b1fe4429f7bb0283 |
completed | April 9, 2026, 12:16 p.m. |
Created at: April 6, 2026, 12:03 p.m.