Triple

T12804981
Position Surface form Disambiguated ID Type / Status
Subject LR Vicenza E306121 entity
Predicate shortName P43 FINISHED
Object LR Vicenza E306121 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: LR Vicenza | Statement: [LR Vicenza, shortName, LR Vicenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LR Vicenza
Context triple: [LR Vicenza, shortName, LR Vicenza]
  • A. LR Vicenza (football club) chosen
    LR Vicenza is an Italian professional football club based in Vicenza, known for its long history and participation in the country's top leagues.
  • B. Vignale
    Vignale was an Italian coachbuilder and design house renowned for crafting elegant custom bodies for marques such as Lancia, Ferrari, and Maserati in the mid-20th century.
  • C. Vignale
    Vignale is a locality historically associated with the Italian coastal principality centered on Piombino in Tuscany.
  • D. Consorzio Venezia Nuova
    Consorzio Venezia Nuova is a consortium of construction and engineering firms responsible for major hydraulic and environmental protection works in the Venice lagoon.
  • E. Val Cavallina
    Val Cavallina is a scenic valley in the Lombardy region of northern Italy, known for its lakes, hills, and small historic towns.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec463f08190822e5235362cf584 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:30 p.m.