Triple

T17313169
Position Surface form Disambiguated ID Type / Status
Subject Alatyr E420351 entity
Predicate administrativeCenterOf P383 FINISHED
Object Alatyrsky District 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: Alatyrsky District | Statement: [Alatyr, administrativeCenterOf, Alatyrsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alatyrsky District
Context triple: [Alatyr, administrativeCenterOf, Alatyrsky District]
  • A. Alatyrsky District chosen
    Alatyrsky District is an administrative and municipal district in the Chuvash Republic of Russia, centered around the town of Alatyr.
  • B. Begovoy District
    Begovoy District is an administrative district in Moscow, Russia, known for its mix of residential areas, office buildings, and major transport routes.
  • C. Rutulsky District
    Rutulsky District is an administrative district in the Republic of Dagestan, Russia, known for its mountainous terrain and ethnolinguistic diversity.
  • D. Vyazemsky District
    Vyazemsky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its location in the Russian Far East and its center in the town of Vyazemsky.
  • E. Vyazemsky District
    Vyazemsky District is an administrative district in Smolensk Oblast, Russia, for which the town of Vyazma serves as the administrative 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399a4194819091d34cd3fffc8072 completed April 19, 2026, 2:10 a.m.
Created at: April 10, 2026, 5:43 a.m.