Triple

T2438790
Position Surface form Disambiguated ID Type / Status
Subject Bad Honnef E53223 entity
Predicate hasTwinTown P919 FINISHED
Object Cadenabbia E236793 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: Cadenabbia | Statement: [Bad Honnef, hasTwinTown, Cadenabbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cadenabbia
Context triple: [Bad Honnef, hasTwinTown, Cadenabbia]
  • A. Cadenabbia chosen
    Cadenabbia is a picturesque lakeside village on Lake Como in northern Italy, known for its historic villas, gardens, and scenic views of the surrounding mountains.
  • B. Menaggio
    Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
  • C. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • D. Capolago
    Capolago is a village in the canton of Ticino in southern Switzerland, located on the shore of Lake Lugano near the Italian border.
  • E. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f62ad081909373134c5adf65d9 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b0e920819088bd7ee3684c81fe completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.