Triple

T1694311
Position Surface form Disambiguated ID Type / Status
Subject Effie Gray E36620 entity
Predicate hasSetting P3538 FINISHED
Object Venice E21687 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: Venice | Statement: [Effie Gray, hasSetting, Venice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venice
Context triple: [Effie Gray, hasSetting, Venice]
  • A. Venice
    Venice is a vibrant beachfront neighborhood on Los Angeles’s Westside known for its bohemian spirit, canals, boardwalk, and skate and surf culture.
  • B. Venice chosen
    Venice is a historic Italian city built on a network of canals in a lagoon of the Adriatic Sea, renowned for its unique architecture, art, and maritime heritage.
  • C. Lido di Venezia
    Lido di Venezia is a long, narrow barrier island in the Venetian Lagoon known for its beaches, luxury hotels, and hosting the Venice Film Festival.
  • D. Genoa
    Genoa is a historic port city in northwestern Italy known for its significant maritime heritage, trade, and role as a major economic hub on the Ligurian coast.
  • E. Treviso
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9974b9c819081e9513ae2a0883b completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:29 p.m.