Triple

T16454792
Position Surface form Disambiguated ID Type / Status
Subject Árpád Bridge E399647 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Óbuda-Békásmegyer E900042 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: Óbuda-Békásmegyer | Statement: [Árpád Bridge, locatedInAdministrativeTerritory, Óbuda-Békásmegyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óbuda-Békásmegyer
Context triple: [Árpád Bridge, locatedInAdministrativeTerritory, Óbuda-Békásmegyer]
  • A. Óbuda-Békásmegyer chosen
    Óbuda-Békásmegyer is a district in the northern part of Budapest, Hungary, known for its historic Óbuda area and residential neighborhoods along the Danube.
  • B. Bicske
    Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
  • C. Bóly
    Bóly is a small town in southern Hungary known for its agricultural surroundings and location within Baranya County.
  • D. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • E. Bükkszék
    Bükkszék is a small village in northern Hungary known for its medicinal thermal waters and spa tourism.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7c84fc8190bcb0df96bdec647e completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4e31a08190b121d0cfe2a406c2 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.