Triple

T1448214
Position Surface form Disambiguated ID Type / Status
Subject Dennis Ritchie E31222 entity
Predicate programmingLanguageDesigned P3929 FINISHED
Object C E9269 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: [Dennis Ritchie, programmingLanguageDesigned, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [Dennis Ritchie, programmingLanguageDesigned, C]
  • A. C chosen
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • B. C Branch
    The C Branch is a light rail service of Boston's MBTA Green Line that runs along Beacon Street between downtown Boston and the Cleveland Circle area of Brighton.
  • C. Terminal C
    Terminal C is one of the main passenger terminals at Luis Muñoz Marín International Airport in Puerto Rico, serving commercial airline operations and traveler services.
  • D. Terminal C
    Terminal C is one of the main passenger terminals at New York City's LaGuardia Airport, serving numerous domestic flights and airlines.
  • E. Terminal C
    Terminal C is a modern passenger terminal at Orlando International Airport designed to handle increased domestic and international air traffic with updated amenities and infrastructure.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55aa7dc8190aa7452d80ec8305e completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c229808190af9936b481390170 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.