Triple

T12583986
Position Surface form Disambiguated ID Type / Status
Subject Frans Eemil Sillanpää E300408 entity
Predicate NobelPrizeCategory P1861 FINISHED
Object Literature E57997 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: Literature | Statement: [Frans Eemil Sillanpää, NobelPrizeCategory, Literature]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Literature
Context triple: [Frans Eemil Sillanpää, NobelPrizeCategory, Literature]
  • A. Literature chosen
    Literature is the body of written works, especially those considered to have artistic or intellectual value, encompassing genres such as poetry, fiction, drama, and essays across cultures and historical periods.
  • B. LIT
    LIT is the IATA airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
  • C. LIT
    LIT is the stock ticker symbol for Litton Industries, a former major American defense and electronics manufacturing company.
  • D. Lit
    Lit is a small locality in Jämtland County, Sweden, situated near Östersund and known for its scenic surroundings and access to outdoor activities.
  • E. Lit
    "Lit" is a popular song by the artist Bas, known for its smooth blend of introspective lyrics and laid-back hip-hop production.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bac9708190ad8f277e7751bf5c completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:03 p.m.