Triple

T809676
Position Surface form Disambiguated ID Type / Status
Subject Inuktitut E17515 entity
Predicate hasDialects P4251 FINISHED
Object Aivilimmiutut
Aivilimmiutut is a regional dialect of the Inuit language spoken by Aivilik Inuit communities in parts of Nunavut, Canada.
 E96906 NE FINISHED

How this triple was built (4 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: Aivilimmiutut | Statement: [Inuktitut, hasDialects, Aivilimmiutut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aivilimmiutut
Context triple: [Inuktitut, hasDialects, Aivilimmiutut]
  • A. Limmat
    The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
  • B. Inatsisartut
    Inatsisartut is the unicameral parliament of Greenland, responsible for making laws and overseeing the autonomous territory’s government.
  • C. Tutunamayanlar
    Tutunamayanlar is a landmark Turkish novel by Oğuz Atay, celebrated for its experimental style, postmodern narrative, and incisive critique of modern Turkish society.
  • D. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aivilimmiutut
Triple: [Inuktitut, hasDialects, Aivilimmiutut]
Generated description
Aivilimmiutut is a regional dialect of the Inuit language spoken by Aivilik Inuit communities in parts of Nunavut, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aivilimmiutut
Target entity description: Aivilimmiutut is a regional dialect of the Inuit language spoken by Aivilik Inuit communities in parts of Nunavut, Canada.
  • A. Limmat
    The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
  • B. Inatsisartut
    Inatsisartut is the unicameral parliament of Greenland, responsible for making laws and overseeing the autonomous territory’s government.
  • C. Tutunamayanlar
    Tutunamayanlar is a landmark Turkish novel by Oğuz Atay, celebrated for its experimental style, postmodern narrative, and incisive critique of modern Turkish society.
  • D. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • F. None of above. chosen

Provenance (5 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab26d36c8190800e98890b7ae08e completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8623248190a2306b23ea378534 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a786dce5f481909bae68fade141630 completed March 4, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69a78744908481909f2ff69fcc873b6d completed March 4, 2026, 1:13 a.m.
Created at: March 1, 2026, 7:38 p.m.