Triple

T8285679
Position Surface form Disambiguated ID Type / Status
Subject Avi Kivity E193780 entity
Predicate programmingLanguageUsed P1592 FINISHED
Object C++ E13747 NE FINISHED

How this triple was built (2 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: C++ | Statement: [Avi Kivity, programmingLanguageUsed, C++]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++
Context triple: [Avi Kivity, programmingLanguageUsed, C++]
  • A. C++ chosen
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • B. CPP
    CPP is a Canadian government-run public pension program that provides retirement, disability, and survivor benefits to eligible contributors.
  • C. CPP
    CPP is a public polytechnic university in Pomona, California, known for its hands-on, learn-by-doing educational approach.
  • D. CPP
    CPP is a revolutionary communist organization in the Philippines that has led a long-running Maoist insurgency against the government.
  • E. .cc
    .cc is the country code top-level domain (ccTLD) assigned to the Cocos (Keeling) Islands, often marketed globally for a variety of commercial and creative uses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.