Triple

T5906309
Position Surface form Disambiguated ID Type / Status
Subject Siege of Szigetvár E131348 entity
Predicate location P40 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: [Siege of Szigetvár, location, Szigetvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szigetvár
Context triple: [Siege of Szigetvár, location, 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. 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.
  • C. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • D. Törökbálint
    Törökbálint is a town in Pest County, Hungary, located just southwest of Budapest and known as a suburban residential area with growing commercial and industrial zones.
  • E. Kolozsvár
    Kolozsvár, known today as Cluj-Napoca, is a major historical and cultural city in Transylvania, Romania, with a significant Hungarian heritage.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0377159f88190a142cd7eed6118c1 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3912f94819086d88cf34a278d3c completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.