Triple

T10012488
Position Surface form Disambiguated ID Type / Status
Subject Baranya County E199407 entity
Predicate containsTown P847 FINISHED
Object Szigetvár E122193 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: Szigetvár | Statement: [Baranya County, containsTown, Szigetvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szigetvár
Context triple: [Baranya County, containsTown, Szigetvár]
  • A. Szigetvár chosen
    Szigetvár is a historic town in southern Hungary best known as the site of the 1566 siege where Ottoman Sultan Suleiman the Magnificent died during his campaign against the Habsburgs.
  • B. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • C. Gyulafehérvár
    Gyulafehérvár, known today as Alba Iulia in Romania, is a historic city that served as the political and cultural center of Transylvania for centuries.
  • D. Mohács
    Mohács is a historic town in southern Hungary best known as the site of the 1526 Battle of Mohács and for its traditional Busójárás carnival.
  • E. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3cf5b881908f5318e55bdd22b6 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28211c2448190897fd4078a266154 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.