Triple

T17616899
Position Surface form Disambiguated ID Type / Status
Subject Kőszeg E429106 entity
Predicate hasLandmark P105 FINISHED
Object city walls of Kőszeg 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: city walls of Kőszeg | Statement: [Kőszeg, hasLandmark, city walls of Kőszeg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city walls of Kőszeg
Context triple: [Kőszeg, hasLandmark, city walls of Kőszeg]
  • A. City walls of Sopron
    The City walls of Sopron are a preserved medieval fortification system encircling the historic center of Sopron, Hungary, notable for their Roman origins and later Gothic and Renaissance modifications.
  • B. Diósgyőr Castle
    Diósgyőr Castle is a medieval Hungarian fortress in the city of Miskolc, renowned for its well-preserved ruins and role as a former royal residence.
  • C. Węgierska Górka fortifications
    The Węgierska Górka fortifications are a system of Polish defensive bunkers and strongpoints built before World War II in southern Poland to protect the mountain passes against German invasion.
  • D. City Hall of Kecskemét
    The City Hall of Kecskemét is a prominent historic municipal building in Kecskemét, Hungary, known for its striking architecture and role as the seat of local government.
  • E. Bratislava city fortifications
    Bratislava city fortifications were a medieval defensive wall system that once encircled the historic core of Bratislava, protecting the city with gates, towers, and ramparts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: city walls of Kőszeg
Target entity description: The city walls of Kőszeg are a well-preserved medieval fortification system in the Hungarian town of Kőszeg, renowned for their role in defending the settlement during historic sieges.
  • A. City walls of Sopron
    The City walls of Sopron are a preserved medieval fortification system encircling the historic center of Sopron, Hungary, notable for their Roman origins and later Gothic and Renaissance modifications.
  • B. Diósgyőr Castle
    Diósgyőr Castle is a medieval Hungarian fortress in the city of Miskolc, renowned for its well-preserved ruins and role as a former royal residence.
  • C. Węgierska Górka fortifications
    The Węgierska Górka fortifications are a system of Polish defensive bunkers and strongpoints built before World War II in southern Poland to protect the mountain passes against German invasion.
  • D. City Hall of Kecskemét
    The City Hall of Kecskemét is a prominent historic municipal building in Kecskemét, Hungary, known for its striking architecture and role as the seat of local government.
  • E. Bratislava city fortifications
    Bratislava city fortifications were a medieval defensive wall system that once encircled the historic core of Bratislava, protecting the city with gates, towers, and ramparts.
  • F. None of above. chosen

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.