Triple

T7867307
Position Surface form Disambiguated ID Type / Status
Subject Sochi Olympic Park E182649 entity
Predicate cityDistrict P2709 FINISHED
Object Adler District E211149 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: Adler District | Statement: [Sochi Olympic Park, cityDistrict, Adler District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adler District
Context triple: [Sochi Olympic Park, cityDistrict, Adler District]
  • A. Adler District chosen
    Adler District is a coastal administrative district of Sochi, Russia, known for hosting key venues of the 2014 Winter Olympics and its resort infrastructure on the Black Sea.
  • B. Tsuzuki District
    Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
  • C. Arakawa district
    Arakawa district is a special ward in northeastern Tokyo known for its mix of traditional shitamachi neighborhoods, residential areas, and industrial zones.
  • D. Aikawa district
    Aikawa district is a locality on Sado Island in Niigata Prefecture, Japan, historically known for its gold and silver mining operations.
  • E. Ebisu district
    Ebisu district is a fashionable neighborhood in Tokyo known for its upscale dining, shopping, and nightlife, as well as its convenient access from central Shibuya.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb38464274819080f182b53783fa84 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf6fb33881908cf7bd68915aa6b4 completed March 31, 2026, 2:51 p.m.
Created at: March 30, 2026, 4:55 p.m.