Triple

T18564375
Position Surface form Disambiguated ID Type / Status
Subject Warang Citi block E453724 entity
Predicate writingSystemFor P454 FINISHED
Object Ho language 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: Ho language | Statement: [Warang Citi block, writingSystemFor, Ho language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ho language
Context triple: [Warang Citi block, writingSystemFor, Ho language]
  • A. Ho language chosen
    Ho language is an Austroasiatic language of the Munda family spoken primarily by the Ho people in eastern India, particularly in Jharkhand and Odisha.
  • B. Ha language
    Ha language is a Bantu language spoken primarily by the Ha people in western Tanzania, particularly around the shores of Lake Tanganyika.
  • C. Hu language
    Hu language is a variety of Wu Chinese spoken primarily in and around Shanghai, known for its distinct phonology and vocabulary compared to Standard Mandarin.
  • D. Hoava language
    The Hoava language is an Oceanic language spoken by communities in the western Solomon Islands, particularly on New Georgia Island.
  • E. Hoh language
    The Hoh language is an extinct Native American language of the Pacific Northwest, traditionally spoken by the Hoh people of the Olympic Peninsula in Washington State.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afd8114819093b57d86f8213311 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.