Triple

T22036117
Position Surface form Disambiguated ID Type / Status
Subject Pyriatyn E544212 entity
Predicate hasAlternativeName P39 FINISHED
Object Piryatin 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: Piryatin | Statement: [Pyriatyn, hasAlternativeName, Piryatin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piryatin
Context triple: [Pyriatyn, hasAlternativeName, Piryatin]
  • A. Nawalapitiya
    Nawalapitiya is a town in Sri Lanka known for its tea plantations and hilly terrain, located within the country's Central Province.
  • B. Pouni
    Pouni is a town in the Reasi district of the Jammu and Kashmir region of India, serving as one of its local commercial and administrative centers.
  • C. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • D. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • E. Pyriatyn chosen
    Pyriatyn is a historic town in central Ukraine, known for its location on the Udai River and its role as a local administrative and cultural center.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f1f95c8190a324c84313cd91ee completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.