Triple

T15747503
Position Surface form Disambiguated ID Type / Status
Subject NKVD E381757 entity
Predicate followedBy P78 FINISHED
Object MVD E57065 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: MVD | Statement: [NKVD, followedBy, MVD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVD
Context triple: [NKVD, followedBy, MVD]
  • A. MVD chosen
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • B. MVD
    MVD is the IATA airport code for Carrasco International Airport, the main international gateway serving Montevideo, Uruguay.
  • C. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • D. MDV
    MDV is a regional public transport association and fare network serving Leipzig and the surrounding Central German area.
  • E. MVRD
    MVRD is the commonly used acronym for the regional government district that encompasses the metropolitan area of Vancouver in British Columbia, Canada.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8309cba881909579ee5a62b3aa31 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.