Triple

T19688876
Position Surface form Disambiguated ID Type / Status
Subject Biogradsko Lake E472781 entity
Predicate nearestTown P350 FINISHED
Object Kolašin 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: Kolašin | Statement: [Biogradsko Lake, nearestTown, Kolašin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolašin
Context triple: [Biogradsko Lake, nearestTown, Kolašin]
  • A. Kolašin chosen
    Kolašin is a small mountain town in northern Montenegro known for its ski resorts, outdoor recreation, and proximity to Biogradska Gora National Park.
  • B. Pljevlja
    Pljevlja is a northern Montenegrin town known as one of the main urban and economic centers of the Sandžak region.
  • C. Zaječar
    Zaječar is a city in eastern Serbia known as the nearest urban center to the late Roman imperial palace complex of Gamzigrad (Felix Romuliana).
  • D. Kruševac
    Kruševac is a historic city in central Serbia founded in the 14th century by Prince Lazar, serving briefly as the capital of his medieval Serbian principality.
  • E. Smederevo
    Smederevo is a historic Serbian city on the Danube River, known for its large medieval fortress and role as a former capital of the Serbian Despotate.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.