Triple

T20828971
Position Surface form Disambiguated ID Type / Status
Subject Kenora—Rainy River E512775 entity
Predicate containsCommunity P8617 FINISHED
Object Ignace 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: Ignace | Statement: [Kenora—Rainy River, containsCommunity, Ignace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ignace
Context triple: [Kenora—Rainy River, containsCommunity, Ignace]
  • A. Ignace chosen
    Ignace is a small township and community in northwestern Ontario, Canada, known as a service and transportation hub along the Trans-Canada Highway.
  • B. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • C. Ignaz
    Ignaz is a masculine given name of Germanic origin historically borne by several notable Central European figures.
  • D. Gaspard
    Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32030c081908249449aae5925c8 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.