Triple

T9240400
Position Surface form Disambiguated ID Type / Status
Subject Sokol E222042 entity
Predicate locatedIn P40 FINISHED
Object Sokol District E551499 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: Sokol District | Statement: [Sokol, locatedIn, Sokol District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokol District
Context triple: [Sokol, locatedIn, Sokol District]
  • A. Sokol District chosen
    Sokol District is a residential and historically significant administrative district in Moscow, Russia, known for its early 20th-century architecture and green, park-filled neighborhoods.
  • B. Presnensky District
    Presnensky District is a central Moscow district known for its business centers, cultural landmarks, and proximity to major government and commercial hubs.
  • C. Sabinov District
    Sabinov District is an administrative district in northeastern Slovakia known for its small towns and rural landscapes in the Prešov Region.
  • D. Chaunsky District
    Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
  • E. Pravdinsky District
    Pravdinsky District is an administrative district in Kaliningrad Oblast, Russia, centered around the town of Pravdinsk.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf0a3888c8190b72d8d0b850bdfbc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d190bef8548190a058e6014ff6690c completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 7:30 p.m.