Triple

T20672829
Position Surface form Disambiguated ID Type / Status
Subject M4 motorway (Hungary) E508072 entity
Predicate connectsCity P4245 FINISHED
Object Szolnok (via vicinity) 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: Szolnok (via vicinity) | Statement: [M4 motorway (Hungary), connectsCity, Szolnok (via vicinity)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szolnok (via vicinity)
Context triple: [M4 motorway (Hungary), connectsCity, Szolnok (via vicinity)]
  • A. Szolnok chosen
    Szolnok is a city in central Hungary known as an important regional industrial and transportation hub along the Tisza River.
  • B. Zsolna (Hungarian)
    Zsolna is the Hungarian name for Žilina, a major city in northwestern Slovakia known as an important industrial and transport hub.
  • C. Gödöllő
    Gödöllő is a Hungarian town near Budapest best known for its historic Royal Palace, one of the largest Baroque palaces in Hungary.
  • D. Sátoraljaújhely
    Sátoraljaújhely is a historic town in northeastern Hungary near the Slovak border, known for its wine region, cultural heritage, and scenic Zemplén Mountains setting.
  • E. Szombathely
    Szombathely is one of Hungary’s oldest cities, known for its Roman heritage and role as a regional cultural and economic center near the Austrian border.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cb1fc88190805f623e93a70368 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.