Triple

T21508721
Position Surface form Disambiguated ID Type / Status
Subject Narkompros E530661 entity
Predicate shortName P43 FINISHED
Object NKP
NKP is the abbreviated name for Narkompros, the Soviet People's Commissariat for Education responsible for overseeing education and cultural policy in the early USSR.
 E1488321 NE FINISHED

How this triple was built (4 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: NKP | Statement: [Narkompros, shortName, NKP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NKP
Context triple: [Narkompros, shortName, NKP]
  • A. KNP
    KNP is the station code for Kinning Park subway station on the Glasgow Subway system in Scotland.
  • B. NKM
    NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
  • C. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • D. NKT
    NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
  • E. NKo
    NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NKP
Triple: [Narkompros, shortName, NKP]
Generated description
NKP is the abbreviated name for Narkompros, the Soviet People's Commissariat for Education responsible for overseeing education and cultural policy in the early USSR.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NKP
Target entity description: NKP is the abbreviated name for Narkompros, the Soviet People's Commissariat for Education responsible for overseeing education and cultural policy in the early USSR.
  • A. KNP
    KNP is the station code for Kinning Park subway station on the Glasgow Subway system in Scotland.
  • B. NKM
    NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
  • C. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • D. NKT
    NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
  • E. NKo
    NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • F. None of above. chosen

Provenance (5 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84042481909b43a7a4c5d2336a completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e1414ca88190973fcd9d2866c883 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e2d3cc6881909c1c23d06b8dfb16 completed May 17, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_6a09e346d35481909a6c12377e12e525 completed May 17, 2026, 3:48 p.m.
Created at: April 16, 2026, 6:24 p.m.