Triple

T5443580
Position Surface form Disambiguated ID Type / Status
Subject Szigetvár E122193 entity
Predicate alternativeName P39 FINISHED
Object Szigetvár, Hungary 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, Hungary | Statement: [Szigetvár, alternativeName, Szigetvár, Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szigetvár, Hungary
Context triple: [Szigetvár, alternativeName, Szigetvár, Hungary]
  • 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. Kaposvár, Hungary
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • 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. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • E. Budaörs, Hungary
    Budaörs is a suburban town just west of Budapest in Hungary, known for its rapid post-communist development, commercial centers, and role as a key transport hub near the capital.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ccdd648190940c04781c4222ec completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fd5099081908ace06c317f6afd1 completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 2:07 p.m.