Triple

T13952132
Position Surface form Disambiguated ID Type / Status
Subject Nevelsky District E335551 entity
Predicate hasCapital P204 FINISHED
Object Nevel E1074084 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: Nevel | Statement: [Nevelsky District, hasCapital, Nevel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevel
Context triple: [Nevelsky District, hasCapital, Nevel]
  • A. Nevel chosen
    Nevel is a town in Pskov Oblast, Russia, known as a local administrative, cultural, and economic center.
  • B. Nevele
    Nevele is a village and former municipality in East Flanders, Belgium, now incorporated into the city of Deinze.
  • C. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb64df57c8190bc402c5ec268eaac completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:17 p.m.