Triple

T20420547
Position Surface form Disambiguated ID Type / Status
Subject EuroBasket 2005 E500835 entity
Predicate hostCity P1798 FINISHED
Object Vršac NE NERFINISHED

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: Vršac | Statement: [EuroBasket 2005, hostCity, Vršac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vršac
Context triple: [EuroBasket 2005, hostCity, Vršac]
  • A. Vršac chosen
    Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
  • B. Trebević
    Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
  • C. Vreoci
    Vreoci is a suburban settlement in the Lazarevac municipality of Belgrade, Serbia, known for its proximity to major lignite coal mining operations.
  • D. Leskovac
    Leskovac is a city in southern Serbia known historically for its textile industry and its popular grilled meat (roštilj) festival.
  • E. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba39f7081909358f1103a0f241c completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.