Triple

T21134963
Position Surface form Disambiguated ID Type / Status
Subject HL-20 Personnel Launch System E520793 entity
Predicate basedOn P98 FINISHED
Object BOR-4
BOR-4 was a Soviet uncrewed lifting-body test vehicle used in the 1980s to study reentry aerodynamics and thermal protection systems for future spaceplanes.
E1468403 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: BOR-4 | Statement: [HL-20 Personnel Launch System, basedOn, BOR-4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOR-4
Context triple: [HL-20 Personnel Launch System, basedOn, BOR-4]
  • A. B-4
    B-4 is an early, less advanced Soong-type android and "brother" of Data in the Star Trek universe, portrayed by Brent Spiner.
  • B. BB-40
    BB-40 is the hull classification symbol for USS New Mexico, a U.S. Navy battleship that served primarily during the early to mid-20th century, including World War II.
  • C. BB-42
    BB-42 is the hull classification symbol for USS Idaho, a New Mexico-class battleship that served in the United States Navy during both World Wars.
  • D. BR-040
    BR-040 is a major Brazilian federal highway that connects key cities including Rio de Janeiro, Juiz de Fora, Belo Horizonte, and Brasília.
  • E. BLD-3
    BLD-3 is a Nokia mobile phone battery model commonly used in early 2000s handsets such as the Nokia 6610.
  • 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: BOR-4
Triple: [HL-20 Personnel Launch System, basedOn, BOR-4]
Generated description
BOR-4 was a Soviet uncrewed lifting-body test vehicle used in the 1980s to study reentry aerodynamics and thermal protection systems for future spaceplanes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOR-4
Target entity description: BOR-4 was a Soviet uncrewed lifting-body test vehicle used in the 1980s to study reentry aerodynamics and thermal protection systems for future spaceplanes.
  • A. B-4
    B-4 is an early, less advanced Soong-type android and "brother" of Data in the Star Trek universe, portrayed by Brent Spiner.
  • B. BB-40
    BB-40 is the hull classification symbol for USS New Mexico, a U.S. Navy battleship that served primarily during the early to mid-20th century, including World War II.
  • C. BB-42
    BB-42 is the hull classification symbol for USS Idaho, a New Mexico-class battleship that served in the United States Navy during both World Wars.
  • D. BR-040
    BR-040 is a major Brazilian federal highway that connects key cities including Rio de Janeiro, Juiz de Fora, Belo Horizonte, and Brasília.
  • E. BLD-3
    BLD-3 is a Nokia mobile phone battery model commonly used in early 2000s handsets such as the Nokia 6610.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723592fd48190ba5977a1b229d51e completed April 21, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965f1fb2c8190b66ee5e64cc98aa4 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966f894d48190b6841c35a9aab417 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a096adfd4248190a26c513278e7b334 completed May 17, 2026, 7:14 a.m.
Created at: April 16, 2026, 2:56 p.m.