Triple

T11357874
Position Surface form Disambiguated ID Type / Status
Subject Opovo municipality E269007 entity
Predicate hasVillage P4011 FINISHED
Object Baranda E920935 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: Baranda | Statement: [Opovo municipality, hasVillage, Baranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baranda
Context triple: [Opovo municipality, hasVillage, Baranda]
  • A. Baranda chosen
    Baranda is a small settlement located within the municipality of Opovo in Serbia.
  • B. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • C. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • D. Balmaha
    Balmaha is a small Scottish village on the eastern shore of Loch Lomond, known as a gateway to the loch’s islands and a popular stop on the West Highland Way walking route.
  • E. Teralba
    Teralba is a suburb of Lake Macquarie in New South Wales, Australia, known for its lakeside setting and historical ties to coal mining and rail transport.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556542ecc8190a8109c17944598ab completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.