Triple

T8411370
Position Surface form Disambiguated ID Type / Status
Subject Zakarpattia Oblast E198630 entity
Predicate hasCity P316 FINISHED
Object Khust E354962 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: Khust | Statement: [Zakarpattia Oblast, hasCity, Khust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khust
Context triple: [Zakarpattia Oblast, hasCity, Khust]
  • A. Khust chosen
    Khust is a historic town in western Ukraine’s Zakarpattia region, known for its medieval castle ruins and role as the political center of the short-lived Carpatho-Ukraine.
  • B. Dubnica nad Váhom
    Dubnica nad Váhom is a town in western Slovakia known as an industrial center and the hometown of several notable Slovak athletes.
  • C. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • D. Šamorín
    Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
  • E. Ptuj
    Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e0341c819080506e696131671e completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0317cb188190b207bcaffb629a75 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:05 p.m.