Triple

T7795327
Position Surface form Disambiguated ID Type / Status
Subject Ice Cube Curling Center E180284 entity
Predicate city P40 FINISHED
Object Sochi E33306 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: Sochi | Statement: [Ice Cube Curling Center, city, Sochi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sochi
Context triple: [Ice Cube Curling Center, city, Sochi]
  • A. Sochi chosen
    Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
  • B. Krasnaya Polyana
    Krasnaya Polyana is a mountain resort settlement in Russia’s Western Caucasus, best known as a major ski and outdoor recreation destination that hosted events during the 2014 Sochi Winter Olympics.
  • C. Ekaterinodar
    Ekaterinodar, now known as Krasnodar, was a major city in southern Russia that served as an important political and military center in the Kuban region.
  • D. Sochi seaport
    Sochi seaport is a prominent Black Sea maritime hub in the Russian resort city of Sochi, known for its passenger terminals, yacht marina, and distinctive Stalinist-era architecture.
  • E. Luts’k
    Luts’k is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and for its well-preserved medieval castle.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae93b262c8190b55e5ab2bc72d894 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a0a34fc81908e7852ed0dbc377c completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:31 p.m.