Triple

T15244853
Position Surface form Disambiguated ID Type / Status
Subject MIP = NEXP E364352 entity
Predicate relatesConcept P463 FINISHED
Object MIP
MIP is a complexity class of decision problems solvable by a polynomial-time verifier interacting with multiple all-powerful provers, known for its deep connections to probabilistic proof systems and the class NEXP.
E1145562 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: MIP | Statement: [MIP = NEXP, relatesConcept, MIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIP
Context triple: [MIP = NEXP, relatesConcept, MIP]
  • A. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • B. MIP
    MIP is the Moon Impact Probe, a small Indian lunar descent craft from the Chandrayaan-1 mission that performed a hard landing on the Moon to test technologies and gather data.
  • C. MIP
    MIP is the station code for Milsons Point railway station on the North Shore line in Sydney, Australia.
  • D. MIP
    MIP is the commonly used abbreviation for the NBA's Most Improved Player award, given annually to the player who has shown the greatest progress in performance.
  • E. MPIP
    MPIP is a leading German research institute focused on cutting-edge fundamental and applied research in polymer science and soft materials.
  • 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: MIP
Triple: [MIP = NEXP, relatesConcept, MIP]
Generated description
MIP is a complexity class of decision problems solvable by a polynomial-time verifier interacting with multiple all-powerful provers, known for its deep connections to probabilistic proof systems and the class NEXP.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MIP
Target entity description: MIP is a complexity class of decision problems solvable by a polynomial-time verifier interacting with multiple all-powerful provers, known for its deep connections to probabilistic proof systems and the class NEXP.
  • A. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • B. MIP
    MIP is the commonly used abbreviation for the NBA's Most Improved Player award, given annually to the player who has shown the greatest progress in performance.
  • C. MIP
    MIP is the Moon Impact Probe, a small Indian lunar descent craft from the Chandrayaan-1 mission that performed a hard landing on the Moon to test technologies and gather data.
  • D. MIP
    MIP is the station code for Milsons Point railway station on the North Shore line in Sydney, Australia.
  • E. MPIP
    MPIP is a leading German research institute focused on cutting-edge fundamental and applied research in polymer science and soft materials.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd461cf08190a506aac2f0cec83a completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.