Triple

T6872960
Position Surface form Disambiguated ID Type / Status
Subject Triveneto E158596 entity
Predicate contains P35 FINISHED
Object Rovereto E238447 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: Rovereto | Statement: [Triveneto, contains, Rovereto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rovereto
Context triple: [Triveneto, contains, Rovereto]
  • A. Rovereto chosen
    Rovereto is a historic town in northern Italy’s Trentino region, known for its cultural institutions, World War I heritage, and scenic Alpine surroundings.
  • B. Calderara di Reno
    Calderara di Reno is a municipality in the Emilia-Romagna region of northern Italy, situated near the city of Bologna.
  • C. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • D. Grinzane Cavour
    Grinzane Cavour is a historic village in Italy’s Piedmont region, renowned for its medieval castle and its role in the production of Barolo wine.
  • E. Todi
    Todi is a historic hilltop town in central Italy known for its medieval architecture, scenic views over the Tiber Valley, and well-preserved city walls and churches.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c73ea08190b6bb1463e7ead47b completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c35d488190a26785dbfe830066 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.