Triple

T14679875
Position Surface form Disambiguated ID Type / Status
Subject Lüdenscheid E344748 entity
Predicate locatedNearRiver 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: [Lüdenscheid, locatedNearRiver, Lenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenne
Context triple: [Lüdenscheid, locatedNearRiver, 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.