Triple

T4099289
Position Surface form Disambiguated ID Type / Status
Subject Western Transdanubia E87898 entity
Predicate hasHistoricalTown P43430 FINISHED
Object Sopron E99815 NE FINISHED

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: Sopron | Statement: [Western Transdanubia, hasHistoricalTown, Sopron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sopron
Context triple: [Western Transdanubia, hasHistoricalTown, Sopron]
  • A. Sopron chosen
    Sopron is a historic city in western Hungary near the Austrian border, known for its well-preserved medieval old town and wine-making traditions.
  • B. Veszprém
    Veszprém is a historic city in western Hungary known for its medieval castle district and role as a regional cultural and administrative center.
  • C. Kaposvár
    Kaposvár is a city in southwestern Hungary that serves as the administrative and cultural center of Somogy County.
  • D. Gödöllő
    Gödöllő is a Hungarian town near Budapest best known for its historic Royal Palace, one of the largest Baroque palaces in Hungary.
  • E. Dunaújváros
    Dunaújváros is an industrial city in central Hungary known for its steel production and post-war socialist urban planning.
  • 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: hasHistoricalTown
Context triple: [Western Transdanubia, hasHistoricalTown, Sopron]
  • A. containsHistoricTown chosen
    Indicates that one entity geographically includes or encompasses a town that has recognized historical significance.
  • B. hasMarketTownHistory
    Indicates that an entity has a historical association with functioning as a market town or possessing recognized market-town status in the past.
  • C. hasHistoricCity
    Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
  • D. hasHistoricCountySeat
    Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
  • E. historicallyBasedIn
    Indicates that one entity is located in or associated with a place as its base of operations during a specific historical period.
  • F. None of above.

Provenance (4 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b75d07e481909794a08d6bc52358 completed March 14, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69aef90b2ef08190ae84febfd69dd48b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:40 p.m.