Triple

T20933869
Position Surface form Disambiguated ID Type / Status
Subject Asparuhov Bridge E515533 entity
Predicate hasViewOf P854 FINISHED
Object Varna Lake 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: Varna Lake | Statement: [Asparuhov Bridge, hasViewOf, Varna Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varna Lake
Context triple: [Asparuhov Bridge, hasViewOf, Varna Lake]
  • A. Varna Lake chosen
    Varna Lake is a coastal lagoon on Bulgaria’s Black Sea coast near the city of Varna, known for its brackish waters and role in local industry and transport.
  • B. Tsova
    Tsova is a historical highland region in the Caucasus traditionally inhabited by the Tsova-Tush (Batsbi) people.
  • C. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
  • D. Vlasina Lake
    Vlasina Lake is a high-altitude artificial lake in southeastern Serbia, known for its floating peat islands and surrounding unspoiled nature.
  • E. Srebarna Lake
    Srebarna Lake is a freshwater lake and nature reserve in northeastern Bulgaria, renowned for its rich biodiversity and as a key habitat for rare and migratory bird species.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f94fc194819099df82357a7f33c7 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.