Triple

T9313899
Position Surface form Disambiguated ID Type / Status
Subject Minsk Metro E224070 entity
Predicate operator P179 FINISHED
Object Minsk Metro Administration E224063 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: Minsk Metro Administration | Statement: [Minsk Metro, operator, Minsk Metro Administration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minsk Metro Administration
Context triple: [Minsk Metro, operator, Minsk Metro Administration]
  • A. Minsk Metro
    The Minsk Metro is a rapid transit system serving Belarus's capital city with multiple underground lines and stations.
  • B. Minsk City Executive Committee chosen
    The Minsk City Executive Committee is the municipal governing body responsible for administering and managing the city of Minsk, the capital of Belarus.
  • C. Metropoliten JSC
    Metropoliten JSC is the municipal company responsible for operating and managing the Sofia Metro rapid transit system in Bulgaria’s capital.
  • D. Minsk I
    Minsk I is the informal name for the first Minsk Protocol, a 2014 ceasefire agreement aimed at halting the war in eastern Ukraine between Ukrainian forces and pro-Russian separatists.
  • E. Yunost Minsk
    Yunost Minsk is a prominent Belarusian ice hockey club renowned for its multiple international and domestic titles and strong performances in European competitions.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.