Triple

T8137075
Position Surface form Disambiguated ID Type / Status
Subject Khreshchatyk Street E189997 entity
Predicate hasPart P35 FINISHED
Object European Square E714260 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: European Square | Statement: [Khreshchatyk Street, hasPart, European Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Square
Context triple: [Khreshchatyk Street, hasPart, European Square]
  • A. European Square chosen
    European Square is a central public square in Kyiv, Ukraine, known as a major transport hub and venue for political rallies and cultural events.
  • B. Europe Square
    Europe Square is a central public plaza in Batumi, Georgia, known for its elegant architecture, fountains, and the prominent Medea statue symbolizing the city’s European connections.
  • C. Neude square
    Neude square is a central and lively public square in Utrecht, Netherlands, known for its cafés, events, and historic surroundings.
  • D. Livu Square
    Livu Square is a popular public square in Riga’s Old Town known for its lively atmosphere, historic surroundings, and numerous cafes and events.
  • E. Walther Square
    Walther Square is a central historic plaza in Bolzano, Italy, known for its statue of poet Walther von der Vogelweide and its role as a focal point for city life and events.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb440171d48190afa4a312ab19389c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbed2abb881908107fdc5a8092aab completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:35 p.m.