Triple

T5471371
Position Surface form Disambiguated ID Type / Status
Subject Upper Hungary E122840 entity
Predicate capitalOrMainCity P3877 FINISHED
Object Kassa E240920 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: Kassa | Statement: [Upper Hungary, capitalOrMainCity, Kassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kassa
Context triple: [Upper Hungary, capitalOrMainCity, Kassa]
  • A. Kassa chosen
    Kassa is the historical Hungarian name for the city now known as Košice in eastern Slovakia.
  • B. Moneybags
    Moneybags is a recurring, money-obsessed bear character in the Spyro the Dragon video game series who charges the player gems to unlock paths, abilities, and characters.
  • C. Pansio
    Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
  • D. Rahan
    Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
  • E. Kasaavin
    Kasaavin are a mysterious, energy-based alien species from the Doctor Who universe known for their ability to phase through matter and manipulate technology while serving as covert antagonists.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921d02188190b5c1eee7205ea88e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4895b77c819089629d2296a230bc completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.