Triple

T15244855
Position Surface form Disambiguated ID Type / Status
Subject MIP = NEXP E364352 entity
Predicate statesEqualityBetween P52973 FINISHED
Object MIP E1145562 NE FINISHED

How this triple was built (3 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, statesEqualityBetween, MIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIP
Context triple: [MIP = NEXP, statesEqualityBetween, 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. MIP chosen
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statesEqualityBetween
Context triple: [MIP = NEXP, statesEqualityBetween, MIP]
  • A. equalityCondition chosen
    Indicates that two values, expressions, or attributes must be exactly the same for the condition to be satisfied.
  • B. legalEquivalence
    Indicates that two legal entities, statuses, or provisions are considered to have the same legal effect, standing, or validity within a given legal framework.
  • C. requiresEqualTreatmentWith
    Indicates that one entity must be treated in the same way and to the same extent as another entity, without preferential or discriminatory differences.
  • D. requiresEquatableElements
    Indicates that the relationship or operation can only be applied when the involved elements support equality comparison with one another.
  • E. isEquiconsistentWith
    Indicates that two formal theories or systems have the same consistency strength, such that if one is consistent then the other is also consistent, and if one is inconsistent then so is the other.
  • F. None of above.

Provenance (4 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_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
PD Predicate disambiguation batch_69deca899d5c8190be4a7c71e1683c69 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:13 a.m.