Triple

T13528762
Position Surface form Disambiguated ID Type / Status
Subject Kurs automatic docking system E323078 entity
Predicate hasVersion P455 FINISHED
Object Kurs-NP
Kurs-NP is a modernized, digital version of Russia’s Kurs spacecraft docking system used to enable automated rendezvous and docking with space stations.
 E1044072 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: Kurs-NP | Statement: [Kurs automatic docking system, hasVersion, Kurs-NP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kurs-NP
Context triple: [Kurs automatic docking system, hasVersion, Kurs-NP]
  • A. NP
    NP was the reporting mark used by the historic Northern Pacific Railway, a major transcontinental railroad in the northern United States.
  • B. NP
    NP is a UK postcode area covering parts of Newport and surrounding regions in south-east Wales.
  • C. NP
    NP is the abbreviation commonly used for the National Party, the former ruling political party of apartheid-era South Africa.
  • D. NP-KTM
    NP-KTM is the regional code designating the Kathmandu area in Nepal, commonly used in administrative and geographic referencing.
  • E. .np
    .np is the country code top-level domain (ccTLD) assigned to Nepal for use in internet addresses.
  • 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: Kurs-NP
Triple: [Kurs automatic docking system, hasVersion, Kurs-NP]
Generated description
Kurs-NP is a modernized, digital version of Russia’s Kurs spacecraft docking system used to enable automated rendezvous and docking with space stations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kurs-NP
Target entity description: Kurs-NP is a modernized, digital version of Russia’s Kurs spacecraft docking system used to enable automated rendezvous and docking with space stations.
  • A. NP
    NP was the reporting mark used by the historic Northern Pacific Railway, a major transcontinental railroad in the northern United States.
  • B. NP
    NP is a UK postcode area covering parts of Newport and surrounding regions in south-east Wales.
  • C. NP
    NP is the abbreviation commonly used for the National Party, the former ruling political party of apartheid-era South Africa.
  • D. NP-KTM
    NP-KTM is the regional code designating the Kathmandu area in Nepal, commonly used in administrative and geographic referencing.
  • E. .np
    .np is the country code top-level domain (ccTLD) assigned to Nepal for use in internet addresses.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549dda6481908e9305690488b1af completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f755521abc8190baabcec69e80d554 completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f755c52c648190a4912725ce65ff04 completed May 3, 2026, 2:03 p.m.
Created at: April 9, 2026, 9:44 p.m.