Triple

T19404472
Position Surface form Disambiguated ID Type / Status
Subject Battle of Mezőkeresztes E485415 entity
Predicate locatedIn P40 FINISHED
Object Mezőkeresztes NE NERFINISHED

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: Mezőkeresztes | Statement: [Battle of Mezőkeresztes, locatedIn, Mezőkeresztes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mezőkeresztes
Context triple: [Battle of Mezőkeresztes, locatedIn, Mezőkeresztes]
  • A. Mezőkeresztes chosen
    Mezőkeresztes is a town in northeastern Hungary historically notable as the site of a major 1596 battle between Ottoman and Habsburg forces.
  • B. Mezőkövesd
    Mezőkövesd is a town in northeastern Hungary known for its Matyó folk art traditions and cultural heritage.
  • C. Kőszeg
    Kőszeg is a historic Hungarian town near the Austrian border, renowned for its well-preserved medieval architecture and role in defending against Ottoman sieges.
  • D. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • E. Kiskőrös
    Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257a361c8190bf019fc350faa225 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.