Triple

T14867673
Position Surface form Disambiguated ID Type / Status
Subject Mexikói út E349658 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Zugló E349621 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: Zugló | Statement: [Mexikói út, locatedInAdministrativeTerritorialEntity, Zugló]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugló
Context triple: [Mexikói út, locatedInAdministrativeTerritorialEntity, Zugló]
  • A. Zugló chosen
    Zugló is Budapest’s 14th district, a largely residential area known for its parks, historic villas, and major landmarks such as City Park and Heroes’ Square.
  • B. Zala
    Zala is a river in western Hungary that flows into Lake Balaton and lends its name to the surrounding Zala region.
  • C. Trencsén
    Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
  • D. Bochsa
    Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
  • E. Oberá
    Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5101a48190937a86b6eda79c55 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.