Triple

T10154917
Position Surface form Disambiguated ID Type / Status
Subject Avas Hill E232749 entity
Predicate hasViewOf P854 FINISHED
Object Miskolc city center E38152 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: Miskolc city center | Statement: [Avas Hill, hasViewOf, Miskolc city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miskolc city center
Context triple: [Avas Hill, hasViewOf, Miskolc city center]
  • A. Miskolc chosen
    Miskolc is a large industrial and cultural city in northeastern Hungary, known for its steel industry, historic center, and nearby cave baths.
  • B. Miskolc railway station
    Miskolc railway station is a major rail hub in northeastern Hungary, serving the city of Miskolc with domestic and international train connections.
  • C. Miskolc County Hall
    Miskolc County Hall is a historic administrative building in the city of Miskolc, Hungary, serving as the central government headquarters for Borsod-Abaúj-Zemplén County.
  • D. Miskolc tram network
    The Miskolc tram network is an urban light rail system serving the Hungarian city of Miskolc, providing key public transportation along its main corridors.
  • E. Kecskemét
    Kecskemét is a city in central Hungary known for its Art Nouveau architecture, cultural institutions, and role as an administrative and economic center of the region.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec38f594819088a7eb73fc25feff completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d406e2c8190ad27f3a5276be25f completed April 19, 2026, 1:17 a.m.
Created at: March 30, 2026, 9:08 p.m.