Triple

T663690
Position Surface form Disambiguated ID Type / Status
Subject Ho-Chunk E12812 entity
Predicate hasAlternativeName P39 FINISHED
Object Hocąk E88530 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: Hocąk | Statement: [Ho-Chunk, hasAlternativeName, Hocąk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hocąk
Context triple: [Ho-Chunk, hasAlternativeName, Hocąk]
  • A. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • B. Hoocąk chosen
    Hoocąk is the endonym for the Ho-Chunk people, a Native American nation originally from the Wisconsin and Illinois regions of the United States.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd1f0ec819087003d30bbab2fa6 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e331b148190aec0181dccbd5c62 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:36 p.m.