Triple

T14348658
Position Surface form Disambiguated ID Type / Status
Subject Kerepesi Cemetery E355794 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Józsefváros E1114933 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: Józsefváros | Statement: [Kerepesi Cemetery, locatedInAdministrativeEntity, Józsefváros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Józsefváros
Context triple: [Kerepesi Cemetery, locatedInAdministrativeEntity, Józsefváros]
  • A. Józsefváros chosen
    Józsefváros is a central district of Budapest, Hungary, known for its historic urban neighborhoods and ongoing revitalization.
  • B. Erzsébetváros
    Erzsébetváros is a central Budapest district known for its historic Jewish Quarter, vibrant nightlife, and dense concentration of bars, restaurants, and cultural venues.
  • C. Terézváros
    Terézváros is a central district of Budapest, Hungary, known for its historic architecture, cultural venues, and vibrant urban life.
  • D. Budapest II District
    Budapest II District is a largely residential, affluent district on the Buda side of Hungary’s capital, known for its hilly terrain, green areas, and upscale neighborhoods.
  • E. Lipótváros
    Lipótváros is a historic central neighborhood of Budapest known for its grand 19th-century architecture, government buildings, and landmarks such as the Hungarian Parliament.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:14 a.m.