Triple

T22373809
Position Surface form Disambiguated ID Type / Status
Subject Vite E553105 entity
Predicate supportsFramework P9089 FINISHED
Object Lit NE NERFINISHED

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: Lit | Statement: [Vite, supportsFramework, Lit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lit
Context triple: [Vite, supportsFramework, Lit]
  • A. Lit
    "Lit" is a popular song by the artist Bas, known for its smooth blend of introspective lyrics and laid-back hip-hop production.
  • B. Lit chosen
    Lit is an American rock band best known for their late-1990s pop-punk and alternative rock hits, including the song "My Own Worst Enemy."
  • C. Lit
    Lit is a small locality in Jämtland County, Sweden, situated near Östersund and known for its scenic surroundings and access to outdoor activities.
  • D. LIT
    LIT is the IATA airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
  • E. LIT
    LIT is the stock ticker symbol for Litton Industries, a former major American defense and electronics manufacturing company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15806b534819083716c2b090ede42 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:45 p.m.