Triple

T16899376
Position Surface form Disambiguated ID Type / Status
Subject Сентандреја E424392 entity
Predicate имаМађарскоИме P50300 FINISHED
Object Szentendre NE NERFINISHED

How this triple was built (3 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: Szentendre | Statement: [Сентандреја, имаМађарскоИме, Szentendre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szentendre
Context triple: [Сентандреја, имаМађарскоИме, Szentendre]
  • A. Szentendre chosen
    Szentendre is a picturesque riverside town near Budapest in Hungary, known for its baroque architecture, art galleries, and vibrant cultural scene.
  • B. Budaörs
    Budaörs is a suburban town near Budapest in Hungary, known for its rapid post-communist development and role as a commercial and residential hub.
  • C. Kispest
    Kispest is a district in Budapest, Hungary, known as a largely residential area with its own local commercial centers and transport connections.
  • D. Szekesfehervar
    Szekesfehérvár is a historic city in central Hungary that served as a medieval royal seat and coronation site for Hungarian kings.
  • E. Zalaegerszeg
    Zalaegerszeg is a city in western Hungary that serves as the administrative center of Zala County and a regional economic and cultural hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: имаМађарскоИме
Context triple: [Сентандреја, имаМађарскоИме, Szentendre]
  • A. MacedonianName
    Indicates that an entity has a name expressed in the Macedonian language or in a Macedonian-specific form.
  • B. SerbianName
    Indicates that an entity has a name that is of Serbian origin or used in the Serbian language.
  • C. nameInSerbianCyrillic chosen
    Indicates that an entity’s name is written in the Serbian Cyrillic script.
  • D. localNameInCroatian
    Indicates that the specified name is the local or native name of an entity when expressed in the Croatian language.
  • E. hasNameInSlavonic
    Indicates that an entity has a specific name or designation expressed in a Slavonic language.
  • F. None of above.

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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69e32b9489408190bcb2ede567ff5bf9 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.