Triple

T3441674
Position Surface form Disambiguated ID Type / Status
Subject Gutes E72578 entity
Predicate spoke P13756 FINISHED
Object Gutnish language E72575 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: Gutnish language | Statement: [Gutes, spoke, Gutnish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutnish language
Context triple: [Gutes, spoke, Gutnish language]
  • A. Gutnish chosen
    Gutnish is a North Germanic language variety spoken on the Swedish island of Gotland, distinct from standard Swedish and descended from the medieval language Old Gutnish.
  • B. Tobian language
    The Tobian language is a Micronesian language spoken primarily on Tobi Island in Palau, known for its small speaker population and close relation to other Carolinean languages.
  • C. Negidal language
    The Negidal language is a critically endangered Tungusic language traditionally spoken by the Negidal people in the Russian Far East along the lower Amur River.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Vestinian language
    The Vestinian language was an ancient, poorly attested Italic tongue once spoken by the Vestini people in central Italy and classified within the Sabellic branch.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba276b708190949f294a8d09ec7b completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.