Triple

T10316240
Position Surface form Disambiguated ID Type / Status
Subject VV MVD SSSR E242021 entity
Predicate distinctFrom P1612 FINISHED
Object militsiya E400947 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: militsiya | Statement: [VV MVD SSSR, distinctFrom, militsiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: militsiya
Context triple: [VV MVD SSSR, distinctFrom, militsiya]
  • A. MIL
    MIL is the vehicle registration code used for cars registered in the Miltenberg district of Bavaria, Germany.
  • B. MIL
    MIL is the standard abbreviation used for the Milwaukee Admirals, a professional ice hockey team based in Milwaukee, Wisconsin.
  • C. Militari
    Militari is a large residential and commercial neighborhood in western Bucharest, Romania, known for its apartment blocks, shopping centers, and major transport links.
  • D. Soviet Militsiya chosen
    The Soviet Militsiya was the state police force of the Soviet Union, responsible for maintaining public order, investigating crimes, and enforcing government authority across the country.
  • E. Aetomilitsa
    Aetomilitsa is a remote mountain village in northwestern Greece, known for its high altitude, traditional Vlach (Aromanian) culture, and proximity to the Albanian border.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35c39148190ab2622a2204aca3b completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d86c7e481908a0d5e65f66ab2c0 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.