Triple

T3331939
Position Surface form Disambiguated ID Type / Status
Subject Khabarovsk Krai E70051 entity
Predicate hasPart P35 FINISHED
Object Vaninsky District E136420 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: Vaninsky District | Statement: [Khabarovsk Krai, hasPart, Vaninsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaninsky District
Context triple: [Khabarovsk Krai, hasPart, Vaninsky District]
  • A. Vaninsky District chosen
    Vaninsky District is an administrative district in Khabarovsk Krai, Russia, located on the Sea of Japan coast and known for its port settlement of Vanino.
  • B. Pytalovsky District
    Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
  • C. Opochetsky District
    Opochetsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Opochka.
  • D. Lazarevsky District
    Lazarevsky District is a coastal administrative district within the city of Sochi, Russia, known for its Black Sea resorts and mountainous landscapes.
  • E. Nevelsky District
    Nevelsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Nevel.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3609bd0d48190838df7dd7cbca159 completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 3:12 p.m.