Triple

T21768837
Position Surface form Disambiguated ID Type / Status
Subject Blum–Shub–Smale model of computation E537367 entity
Predicate defines P264 FINISHED
Object NP_R
NP_R is the class of decision problems over the real numbers that can be solved in nondeterministic polynomial time within the Blum–Shub–Smale model of computation.
 E1501367 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: NP_R | Statement: [Blum–Shub–Smale model of computation, defines, NP_R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NP_R
Context triple: [Blum–Shub–Smale model of computation, defines, NP_R]
  • 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
    NP (nondeterministic polynomial time) is the complexity class of decision problems for which proposed solutions can be verified in polynomial time by a deterministic Turing machine.
  • E. NRPs
    NRPs are strategic policy documents prepared by EU member states outlining their plans and measures to implement the Union’s economic and structural reform objectives, particularly under the Europe 2020 and European Semester frameworks.
  • 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: NP_R
Triple: [Blum–Shub–Smale model of computation, defines, NP_R]
Generated description
NP_R is the class of decision problems over the real numbers that can be solved in nondeterministic polynomial time within the Blum–Shub–Smale model of computation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NP_R
Target entity description: NP_R is the class of decision problems over the real numbers that can be solved in nondeterministic polynomial time within the Blum–Shub–Smale model of computation.
  • 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
    NP (nondeterministic polynomial time) is the complexity class of decision problems for which proposed solutions can be verified in polynomial time by a deterministic Turing machine.
  • E. NRPs
    NRPs are strategic policy documents prepared by EU member states outlining their plans and measures to implement the Union’s economic and structural reform objectives, particularly under the Europe 2020 and European Semester frameworks.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ac10808190837a0f69c4f8a02d completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a367bbd008190b374213331527287 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a373aca708190aae867f78c87b956 completed May 17, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37e0bed48190b0319d62eaff5d1e completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:51 p.m.