Triple

T20836455
Position Surface form Disambiguated ID Type / Status
Subject NP-hardness E512971 entity
Predicate relatedClass P25008 FINISHED
Object co-NP
co-NP is the complexity class containing decision problems whose complements are in NP, typically characterized by efficiently verifiable proofs of "no" instances.
E1452088 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: co-NP | Statement: [NP-hardness, relatedClass, co-NP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: co-NP
Context triple: [NP-hardness, relatedClass, co-NP]
  • A. NP-completeness
    NP-completeness is a central concept in computational complexity theory that classifies decision problems believed to be among the hardest in NP, such that a polynomial-time solution to any one of them would yield polynomial-time solutions to all problems in NP.
  • B. NP
    NP was the reporting mark used by the historic Northern Pacific Railway, a major transcontinental railroad in the northern United States.
  • 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. NP
    NP is a UK postcode area covering parts of Newport and surrounding regions in south-east Wales.
  • 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: co-NP
Triple: [NP-hardness, relatedClass, co-NP]
Generated description
co-NP is the complexity class containing decision problems whose complements are in NP, typically characterized by efficiently verifiable proofs of "no" instances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: co-NP
Target entity description: co-NP is the complexity class containing decision problems whose complements are in NP, typically characterized by efficiently verifiable proofs of "no" instances.
  • A. NP-completeness
    NP-completeness is a central concept in computational complexity theory that classifies decision problems believed to be among the hardest in NP, such that a polynomial-time solution to any one of them would yield polynomial-time solutions to all problems in NP.
  • B. NP
    NP was the reporting mark used by the historic Northern Pacific Railway, a major transcontinental railroad in the northern United States.
  • 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 is a UK postcode area covering parts of Newport and surrounding regions in south-east Wales.
  • E. 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.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c326daec8190bd4caa41a4b38833 completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090084a1c481909a344ee40d846b10 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0900fd590c8190b42faa5c5191189a completed May 16, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0901950c1c8190befa72dc20236b9e completed May 16, 2026, 11:45 p.m.
Created at: April 16, 2026, 12:42 p.m.