Triple

T19364990
Position Surface form Disambiguated ID Type / Status
Subject Southern Bulgaria E484377 entity
Predicate hasMajorCity P316 FINISHED
Object Pernik Province 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: Pernik Province | Statement: [Southern Bulgaria, hasMajorCity, Pernik Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernik Province
Context triple: [Southern Bulgaria, hasMajorCity, 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. Tak province
    Tak province is a mountainous and forested region in western Thailand, known for its border with Myanmar, scenic national parks, and the gateway town of Mae Sot.
  • C. 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.
  • D. Berar Province
    Berar Province was a former administrative region in central India under British rule, known for its cotton-growing areas and later incorporation into the Central Provinces and Berar.
  • E. Skikda Province
    Skikda Province is a coastal region in northeastern Algeria known for its Mediterranean port city of Skikda and its role in the country’s modern history.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619aa9ff48190b1ede47fb88a682e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.