Triple

T8269247
Position Surface form Disambiguated ID Type / Status
Subject Danylo Halytskyi Street E193380 entity
Predicate locatedIn P40 FINISHED
Object old town of Lutsk E6073 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: old town of Lutsk | Statement: [Danylo Halytskyi Street, locatedIn, old town of Lutsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: old town of Lutsk
Context triple: [Danylo Halytskyi Street, locatedIn, old town of Lutsk]
  • A. Lutsk chosen
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • B. Kamianets-Podilskyi
    Kamianets-Podilskyi is a historic city in western Ukraine renowned for its well-preserved medieval old town and impressive fortress overlooking the Smotrych River canyon.
  • C. Halych
    Halych is a historic town in western Ukraine that served as a major political and cultural center of the medieval principality and later kingdom of Galicia.
  • D. Zhovkva
    Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
  • E. Drohobych
    Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd683d04e081908b0ce81e866f0311 completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.