Triple

T4221817
Position Surface form Disambiguated ID Type / Status
Subject Ongan languages E94356 entity
Predicate hasPart P35 FINISHED
Object Aka-Kede language
The Aka-Kede language is an extinct Ongan language once spoken by the indigenous Andamanese Aka-Kede people of North Andaman Island in India.
 E424230 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: Aka-Kede language | Statement: [Ongan languages, hasPart, Aka-Kede language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aka-Kede language
Context triple: [Ongan languages, hasPart, Aka-Kede language]
  • A. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • B. Akebu language
    The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
  • C. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Kaska language
    The Kaska language is an Indigenous Northern Athabaskan language spoken by the Kaska Dena people of the Yukon and northern British Columbia in Canada.
  • 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: Aka-Kede language
Triple: [Ongan languages, hasPart, Aka-Kede language]
Generated description
The Aka-Kede language is an extinct Ongan language once spoken by the indigenous Andamanese Aka-Kede people of North Andaman Island in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aka-Kede language
Target entity description: The Aka-Kede language is an extinct Ongan language once spoken by the indigenous Andamanese Aka-Kede people of North Andaman Island in India.
  • A. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • B. Akebu language
    The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
  • C. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Kaska language
    The Kaska language is an Indigenous Northern Athabaskan language spoken by the Kaska Dena people of the Yukon and northern British Columbia in Canada.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0e06d881908e3aa8ef1a90c010 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a858a5b08190990a896265ac9725 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5ac2e0824819084f02a8be9019764 completed March 14, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69b5ac9843fc8190bb4284b4e66abee5 completed March 14, 2026, 6:44 p.m.
Created at: March 12, 2026, 11:04 p.m.