Triple

T7174143
Position Surface form Disambiguated ID Type / Status
Subject Sofia Province E167275 entity
Predicate borders P224 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: [Sofia Province, borders, Pernik Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernik Province
Context triple: [Sofia Province, borders, 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. 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.
  • D. 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.
  • E. 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.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88d770c8190b8d06dcd08447c08 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b921b1e48190b25c1337f6187174 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:48 p.m.