Triple

T10457208
Position Surface form Disambiguated ID Type / Status
Subject Comune of Verbania E246577 entity
Predicate hasPart P35 FINISHED
Object Pallanza E536577 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: Pallanza | Statement: [Comune of Verbania, hasPart, Pallanza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pallanza
Context triple: [Comune of Verbania, hasPart, Pallanza]
  • A. Pallanza chosen
    Pallanza is a picturesque lakeside town on the shores of Lake Maggiore in northern Italy, now a frazione of Verbania in the Piedmont region.
  • B. Cadenabbia
    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.
  • C. 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.
  • D. Pandino
    Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe498a808190b88530f0221df4a6 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.