Triple

T19440346
Position Surface form Disambiguated ID Type / Status
Subject Zla Kolata E486332 entity
Predicate accessPoint P1985 FINISHED
Object Gusinje (Montenegro) 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: Gusinje (Montenegro) | Statement: [Zla Kolata, accessPoint, Gusinje (Montenegro)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gusinje (Montenegro)
Context triple: [Zla Kolata, accessPoint, Gusinje (Montenegro)]
  • A. Gusinje chosen
    Gusinje is a small town in northeastern Montenegro known for its dramatic mountain scenery and role as a gateway to the Accursed Mountains.
  • B. Njeguši, Montenegro
    Njeguši, Montenegro is a historic mountain village in the Lovćen region, best known as the birthplace of the Montenegrin ruler and poet Petar II Petrović-Njegoš and for its traditional smoked ham and cheese.
  • C. Bogovinje
    Bogovinje is a village and municipality in northwestern North Macedonia, situated near Tetovo and known for its predominantly Albanian population.
  • D. Karašica
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • E. Bar, Montenegro
    Bar is a coastal city in southern Montenegro that serves as a major Adriatic seaport and important transportation hub for the country.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63364371081908e899c2a47af4e5d completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.