Triple

T14127215
Position Surface form Disambiguated ID Type / Status
Subject Gwich’in language E340064 entity
Predicate hasAlternativeName P39 FINISHED
Object Tukudh E1081368 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: Tukudh | Statement: [Gwich’in language, hasAlternativeName, Tukudh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tukudh
Context triple: [Gwich’in language, hasAlternativeName, Tukudh]
  • A. Takudh chosen
    Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
  • B. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • C. Tukuche
    Tukuche is a traditional Thakali village in Nepal’s Mustang region, known for its historic houses, apple orchards, and location along the Annapurna trekking route.
  • D. Tawu
    Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
  • E. Tulak
    Tulak is a town in Afghanistan that serves as a local settlement within Ghor Province.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e2b0248190ba40aa8395355052 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.