Triple

T23522015
Position Surface form Disambiguated ID Type / Status
Subject Puskás Aréna E574532 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Zugló 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: Zugló | Statement: [Puskás Aréna, locatedInNeighborhood, Zugló]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zugló
Context triple: [Puskás Aréna, locatedInNeighborhood, 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. Zala
    Zala is a dialect of the Wolaytta language spoken by the Wolaytta people in southern Ethiopia.
  • D. 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.
  • E. Bochsa
    Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa873ad48190a86807bd4f26df82 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.