Triple

T12354283
Position Surface form Disambiguated ID Type / Status
Subject Pernik Province E294567 entity
Predicate hasIndustrialCenter P3436 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: [Pernik Province, hasIndustrialCenter, Pernik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernik
Context triple: [Pernik Province, hasIndustrialCenter, 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. Pirk
    Pirk is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Poriem
    Poriem is a legislative assembly constituency in the Indian state of Goa, represented in the Goa Legislative Assembly.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef437d08190b09132fa090504a5 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.