Triple

T8789662
Position Surface form Disambiguated ID Type / Status
Subject Lake Beloslav E209129 entity
Predicate connectedTo P37 FINISHED
Object Lake Varna 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: Lake Varna | Statement: [Lake Beloslav, connectedTo, Lake Varna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Varna
Context triple: [Lake Beloslav, connectedTo, Lake Varna]
  • 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. Bay of Varna
    The Bay of Varna is a Black Sea coastal inlet in northeastern Bulgaria, forming the maritime setting and harbor area for the city of Varna.
  • C. Burgas Bay
    Burgas Bay is a large bay on Bulgaria’s Black Sea coast, known for its major port city of Burgas and its role as an important regional maritime and industrial hub.
  • D. Lake Dojran
    Lake Dojran is a shallow, biodiversity-rich lake on the border between North Macedonia and Greece, known for its traditional fishing methods and important wetland habitats.
  • E. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf890b49048190b49c784f84e23496 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:43 p.m.