Triple
T16424513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märkischer Kreis |
E398905
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Lenne |
E317102
|
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: Lenne | Statement: [Märkischer Kreis, hasRiver, Lenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenne Context triple: [Märkischer Kreis, hasRiver, Lenne]
-
A.
Lenne
chosen
Lenne is a river in North Rhine-Westphalia, Germany, known as a significant tributary of the Ruhr.
-
B.
Poulus
Poulus is a personal name variant derived from the given name Poul.
-
C.
Lennertz
Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
-
D.
Lenno
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
E.
Fenno
Fenno is a family surname of English origin borne by individuals such as Olive Augusta Fenno Alger.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f9da9081908dadbdac4b2d38ec |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c70aaa08190bf88210c0b491fc1 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.