Triple

T50397
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam E989 entity
Predicate hasNickname P39 FINISHED
Object Venice of the North E15900 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 of the North | Statement: [Amsterdam, hasNickname, Venice of the North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venice of the North
Context triple: [Amsterdam, hasNickname, Venice of the North]
  • A. Venice of the North chosen
    Venice of the North is a nickname commonly given to St. Petersburg, Russia, highlighting its extensive network of canals, rivers, and elegant bridges reminiscent of Venice.
  • B. Venice
    Venice is a vibrant beachfront neighborhood on Los Angeles’s Westside known for its bohemian spirit, canals, boardwalk, and skate and surf culture.
  • C. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • D. Naples
    Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
  • E. Milan
    Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24af56cc88190a898f8bf2a283820 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b4b65e0881908e82b8e3a4bd3aa4 completed Feb. 28, 2026, 9:26 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.