Triple

T6542335
Position Surface form Disambiguated ID Type / Status
Subject Vitosha Mountain E168320 entity
Predicate isPartOf P10 FINISHED
Object Pernik Province E294567 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: Pernik Province | Statement: [Vitosha Mountain, isPartOf, Pernik Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernik Province
Context triple: [Vitosha Mountain, isPartOf, Pernik Province]
  • A. Pernik Province chosen
    Pernik Province is a region in western Bulgaria known for its industrial heritage and proximity to the capital, Sofia.
  • B. Oruzgan Province
    Oruzgan Province is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in Afghanistan’s recent conflicts.
  • C. Sandaun Province
    Sandaun Province is a remote northwestern province of Papua New Guinea, bordering Indonesia and the Bismarck Sea and known for its diverse indigenous cultures and riverine landscapes.
  • D. Marga Marga Province
    Marga Marga Province is an administrative division in Chile’s Valparaíso Region, known for its rapidly growing urban areas and proximity to the coastal cities of Viña del Mar and Valparaíso.
  • E. Chota Province
    Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add9036081908917ff27ceed1038 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d541f25081909a4b218fd38718c6 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.