Triple

T8771398
Position Surface form Disambiguated ID Type / Status
Subject Varna Province E208470 entity
Predicate contains P35 FINISHED
Object Varna Lake E751333 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: Varna Lake | Statement: [Varna Province, contains, Varna Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varna Lake
Context triple: [Varna Province, contains, 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. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
  • C. Lake Peipus
    Lake Peipus is a large transboundary freshwater lake on the border between Estonia and Russia, known for its ecological importance and historical significance as the site of the 1242 Battle on the Ice.
  • D. Heiliger See
    Heiliger See is a picturesque lake in Potsdam, Germany, known for its scenic setting amid historic palaces and gardens.
  • E. Nieuwe Meer
    Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.