Triple

T6734668
Position Surface form Disambiguated ID Type / Status
Subject Sesia E153722 entity
Predicate flowsThrough P225 FINISHED
Object Vercelli (city) E243615 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: Vercelli (city) | Statement: [Sesia, flowsThrough, Vercelli (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vercelli (city)
Context triple: [Sesia, flowsThrough, Vercelli (city)]
  • A. Vercelli chosen
    Vercelli is a historic city in northern Italy’s Piedmont region, known for its medieval architecture and important role in rice cultivation.
  • B. Voghera
    Voghera is a town in the Lombardy region of northern Italy, known historically as a local agricultural and commercial center.
  • C. Novara
    Novara is a city in the Piedmont region of northern Italy, known for its historic center, rice cultivation in the surrounding plains, and role as an important local economic and cultural hub.
  • D. Vigevano
    Vigevano is a historic town in the Lombardy region of northern Italy, known for its Renaissance architecture and elegant central square, the Piazza Ducale.
  • E. Biella
    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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16ecbe08190b019d547f631a725 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0703288190906cfcaba9d9c85a completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.