Triple

T10249531
Position Surface form Disambiguated ID Type / Status
Subject European route E50 E240302 entity
Predicate passesThroughCity P416 FINISHED
Object Uzhhorod E238420 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: Uzhhorod | Statement: [European route E50, passesThroughCity, Uzhhorod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzhhorod
Context triple: [European route E50, passesThroughCity, Uzhhorod]
  • A. Uzhhorod chosen
    Uzhhorod is a historic city in western Ukraine near the Slovak and Hungarian borders, known for its multicultural heritage and as the administrative center of Zakarpattia Oblast.
  • B. Ternopil
    Ternopil is a city in western Ukraine known as a regional cultural and economic center with a historic old town and a picturesque lakeside setting.
  • C. Zhovkva
    Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
  • D. Sumy
    Sumy is a regional city in northeastern Ukraine known as the administrative center of Sumy Oblast and an important cultural, educational, and industrial hub.
  • E. Ivano-Frankivsk
    Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5424a26688190a49c3920d0edb546 completed April 19, 2026, 8:59 p.m.
Created at: April 6, 2026, 11:28 a.m.