Triple

T19097158
Position Surface form Disambiguated ID Type / Status
Subject Nivy E467434 entity
Predicate adjacentTo P224 FINISHED
Object Staré Mesto NE NERFINISHED

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: Staré Mesto | Statement: [Nivy, adjacentTo, Staré Mesto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staré Mesto
Context triple: [Nivy, adjacentTo, Staré Mesto]
  • A. Staroměstská
    Staroměstská is a Prague Metro station on Line A located near the historic Old Town district and major landmarks such as the Old Town Square and Charles Bridge.
  • B. Malá Strana
    Malá Strana is a historic district of Prague known for its baroque architecture, narrow streets, and location beneath Prague Castle along the Vltava River.
  • C. Old Town, Prague chosen
    Old Town, Prague is the historic medieval heart of the Czech capital, known for its cobbled streets, Gothic and Baroque architecture, and the famous Old Town Square with its Astronomical Clock.
  • D. Hradčany
    Hradčany is the historic castle district of Prague, known for encompassing Prague Castle and many of the city's most important cultural and political landmarks.
  • E. Prague 1 district
    Prague 1 district is the historic central district of Prague, encompassing much of the Old Town, Lesser Town, and key cultural and political landmarks of the Czech capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.