Triple

T4295864
Position Surface form Disambiguated ID Type / Status
Subject Osogovo Mountains E99709 entity
Predicate hasSettlementNearby P7611 FINISHED
Object Kocani E362818 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: Kocani | Statement: [Osogovo Mountains, hasSettlementNearby, Kocani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kocani
Context triple: [Osogovo Mountains, hasSettlementNearby, Kocani]
  • A. Kocani chosen
    Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
  • B. Kratovo
    Kratovo is a historic town in northeastern North Macedonia, known for its well-preserved Ottoman-era stone bridges and towers set in a volcanic crater landscape.
  • C. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • D. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • E. Kraljevo
    Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d073936c8190b48045f8370ea27f completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:08 p.m.