Triple

T5151122
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Bulgaria E116194 entity
Predicate containsCity P294 FINISHED
Object Pernik E294570 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 | Statement: [Southwestern Bulgaria, containsCity, Pernik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernik
Context triple: [Southwestern Bulgaria, containsCity, Pernik]
  • A. Pernik chosen
    Pernik is an industrial city in western Bulgaria, historically known for its coal mining and heavy industry, located southwest of Sofia.
  • B. Pernå
    Pernå is a historic former municipality in southern Finland, known as the birthplace of Mikael Agricola, the father of written Finnish.
  • C. Pernaja
    Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
  • D. Pern
    Pern is a fictional, colonized planet in Anne McCaffrey’s Dragonriders of Pern series, known for its telepathic dragons and cyclical deadly Threadfall.
  • E. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d965548190b09f574acf3b9b1a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed004538c81908fac258ea99f7e63 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.