Triple

T7244376
Position Surface form Disambiguated ID Type / Status
Subject Kwasind E156435 entity
Predicate associatedWith P37 FINISHED
Object Hiawatha E156430 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: Hiawatha | Statement: [Kwasind, associatedWith, Hiawatha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiawatha
Context triple: [Kwasind, associatedWith, Hiawatha]
  • A. Hiawatha chosen
    Hiawatha is a legendary Native American hero and cultural figure, widely known from Henry Wadsworth Longfellow’s epic poem that romanticizes his life and deeds.
  • B. Huron
    Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
  • C. Huron
    Huron is a small agricultural city located in California’s San Joaquin Valley.
  • D. Olympian Hiawatha
    Olympian Hiawatha was a streamlined luxury passenger train that ran between Chicago and the Pacific Northwest in the mid-20th century, known for its distinctive design and scenic route through the northern United States.
  • E. The Helena
    The Helena is a prominent eco-friendly luxury residential skyscraper in Manhattan, New York City, developed by The Durst Organization.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea58533481909af7a4a6ade40eff completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eecda0548190b12b1bc36b42e7ea completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:56 p.m.