Triple

T9182212
Position Surface form Disambiguated ID Type / Status
Subject HC Dynamo Kharkiv E220358 entity
Predicate shortName P43 FINISHED
Object Dynamo Kharkiv E220358 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: Dynamo Kharkiv | Statement: [HC Dynamo Kharkiv, shortName, Dynamo Kharkiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamo Kharkiv
Context triple: [HC Dynamo Kharkiv, shortName, Dynamo Kharkiv]
  • A. HC Dynamo Kharkiv chosen
    HC Dynamo Kharkiv is a professional ice hockey club based in Kharkiv, Ukraine.
  • B. Dynamo Minsk
    Dynamo Minsk is a professional sports club from Minsk, Belarus, best known for its football team competing in the country’s top league and European competitions.
  • C. FC Dnipro Cherkasy
    FC Dnipro Cherkasy is a Ukrainian football club based in the city of Cherkasy that competes in the national league system.
  • D. FC Dynamo Kyiv
    FC Dynamo Kyiv is a historically successful Ukrainian professional football club renowned for its domestic dominance and strong performances in European competitions.
  • E. BC Dnipro
    BC Dnipro is a professional basketball club based in Dnipro, Ukraine, competing in the country’s top basketball league.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25379008190b8ca047efe3bb7bb completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0eeb0c8190a5a22c662726805c completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.