Triple

T15321688
Position Surface form Disambiguated ID Type / Status
Subject District V, Budapest E366306 entity
Predicate hasPart P35 FINISHED
Object Lipótváros E354799 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: Lipótváros | Statement: [District V, Budapest, hasPart, Lipótváros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipótváros
Context triple: [District V, Budapest, hasPart, Lipótváros]
  • A. Lipótváros chosen
    Lipótváros is a historic central neighborhood of Budapest known for its grand 19th-century architecture, government buildings, and landmarks such as the Hungarian Parliament.
  • B. Józsefváros
    Józsefváros is a central district of Budapest, Hungary, known for its historic urban neighborhoods and ongoing revitalization.
  • C. Erzsébetváros
    Erzsébetváros is a central Budapest district known for its historic Jewish Quarter, vibrant nightlife, and dense concentration of bars, restaurants, and cultural venues.
  • D. Terézváros
    Terézváros is a central district of Budapest, Hungary, known for its historic architecture, cultural venues, and vibrant urban life.
  • E. Budapest District XXI
    Budapest District XXI, also known as Csepel, is a southern district of Budapest located on Csepel Island, characterized by its industrial heritage and residential neighborhoods along the Danube.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd460288190b5c41f0a0aeee949 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00456b590c8190949fd23cb5cec1e8 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 3:16 a.m.