Triple

T13762725
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Venice E330653 entity
Predicate contains P35 FINISHED
Object Marghera E1012403 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: Marghera | Statement: [Metropolitan City of Venice, contains, Marghera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marghera
Context triple: [Metropolitan City of Venice, contains, Marghera]
  • A. Marghera chosen
    Marghera is an industrial port district of Venice, Italy, known for its large petrochemical and manufacturing complexes.
  • B. San Donà di Piave
    San Donà di Piave is a town in the Veneto region of northeastern Italy, known for its historical ties to World War I and its location in the low-lying plains between Venice and the Adriatic coast.
  • C. Rende
    Rende is a town in the Calabria region of southern Italy, known for hosting part of the University of Calabria and for its blend of historic center and modern urban areas.
  • D. Luino
    Luino is a town in northern Italy’s Lombardy region, known for its lakeside setting near the Swiss border and its historic weekly market.
  • E. Cavarzere
    Cavarzere is a town in northeastern Italy known for its agricultural landscape and location near the lower course of the Adige River.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a862e6808190b8fbb27304212058 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.