Triple

T10018141
Position Surface form Disambiguated ID Type / Status
Subject Pál Maléter E199547 entity
Predicate placeOfBirth P1 FINISHED
Object Eperjes E523394 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: Eperjes | Statement: [Pál Maléter, placeOfBirth, Eperjes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eperjes
Context triple: [Pál Maléter, placeOfBirth, Eperjes]
  • A. Eperjes chosen
    Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
  • B. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • C. Ezerjó
    Ezerjó is a traditional Hungarian white grape variety known for producing fresh, high-acid wines, particularly associated with the Mór wine region.
  • D. Csokas
    Csokas is the surname of Marton Csokas, a New Zealand actor known for roles in films such as "The Lord of the Rings" and "Kingdom of Heaven."
  • E. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • 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_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aa319508190b85b5a5f78603b6a completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:53 p.m.