Triple

T9100960
Position Surface form Disambiguated ID Type / Status
Subject Sokolniki E218150 entity
Predicate serves P98 FINISHED
Object Sokolniki District E605645 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: Sokolniki District | Statement: [Sokolniki, serves, Sokolniki District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokolniki District
Context triple: [Sokolniki, serves, Sokolniki District]
  • A. Sokolniki District chosen
    Sokolniki District is a municipal district in Moscow, Russia, known for its large historic park and recreational areas.
  • B. Rostokino District
    Rostokino District is a residential and historical administrative area in northeastern Moscow, known for its parks, transport links, and proximity to major waterways and rail lines.
  • C. Neryungrinsky District
    Neryungrinsky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its coal mining center around the town of Neryungri.
  • D. Solntsevo District
    Solntsevo District is a residential administrative area in the Western Administrative Okrug of Moscow, Russia, known for its post-Soviet urban development and integration into the city’s metro network.
  • E. Khamovniki District
    Khamovniki District is a historic and affluent central Moscow neighborhood known for its cultural landmarks, prestigious residential areas, and proximity to the Moscow River.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9711babc8190a336812dd08d9c73 completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b66432081908f557fba2cbf2f6d completed April 4, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:15 p.m.