Triple

T4659407
Position Surface form Disambiguated ID Type / Status
Subject Armistice of Belgrade (1918) E102489 entity
Predicate appliesTo P1129 FINISHED
Object Baranya E199407 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: Baranya | Statement: [Armistice of Belgrade (1918), appliesTo, Baranya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baranya
Context triple: [Armistice of Belgrade (1918), appliesTo, Baranya]
  • A. Makó
    Makó is a town in southeastern Hungary, renowned for its onion production and thermal baths.
  • B. Baranya County chosen
    Baranya County is an administrative region in southern Hungary known for its cultural center Pécs, wine-producing areas, and diverse natural landscapes.
  • C. Pécs
    Pécs is a historic cultural and university city in southwestern Hungary, renowned for its Roman and Ottoman heritage and its designation as a European Capital of Culture in 2010.
  • D. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • E. Szombathely
    Szombathely is one of Hungary’s oldest cities, known for its Roman heritage and role as a regional cultural and economic center near the Austrian border.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6328387c81909a500e694a739e6e completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf9564c819094b9340570a7616b completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.