Triple

T12065231
Position Surface form Disambiguated ID Type / Status
Subject Sigmaringen E287276 entity
Predicate hasTwinTown P919 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: [Sigmaringen, hasTwinTown, Szigetvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szigetvár
Context triple: [Sigmaringen, hasTwinTown, 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. Oroszvár
    Oroszvár is a historic locality in present-day western Slovakia (now part of Rusovce, a borough of Bratislava) known in part as a former residence of Princess Louise of Belgium.
  • C. Harkány
    Harkány is a Hungarian spa town in southern Transdanubia renowned for its medicinal thermal baths and health tourism.
  • D. Pécsvárad
    Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
  • E. 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.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3ee53c81909c2e4620a12a46da completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:48 p.m.