Triple

T1668751
Position Surface form Disambiguated ID Type / Status
Subject SQLite E36073 entity
Predicate writtenIn P12727 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: [SQLite, writtenIn, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [SQLite, writtenIn, 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. .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.
  • C. 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.
  • D. 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.
  • E. Terminal C
    Terminal C is one of the main passenger terminals at New York City's LaGuardia Airport, serving numerous domestic flights and airlines.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adf3d3c81909233e574e79b82a2 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b0cde08190a210cf387459e9ad completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.