Triple

T10296252
Position Surface form Disambiguated ID Type / Status
Subject Biella E241495 entity
Predicate hasSubdivision P747 FINISHED
Object Biella Piano E241495 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: Biella Piano | Statement: [Biella, hasSubdivision, Biella Piano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biella Piano
Context triple: [Biella, hasSubdivision, Biella Piano]
  • A. Colle di Tenda
    Colle di Tenda is a high mountain pass on the border between France and Italy that historically served as a key transalpine route through the Alps.
  • B. Cesana Torinese
    Cesana Torinese is an Italian alpine town and ski resort in the Piedmont region, known for its winter sports facilities and role in hosting events during the 2006 Turin Winter Olympics.
  • C. Mondovì
    Mondovì is a historic town in Italy’s Piedmont region, known for its medieval center, panoramic hilltop views, and rich architectural heritage.
  • D. Pizzighettone
    Pizzighettone is a historic fortified town in northern Italy known for its well-preserved medieval walls and strategic position along the Adda River.
  • E. Biella chosen
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ea9b3c8190b11518b259d5825c completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d23f49081909aea149c6b219354 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:43 a.m.