Triple

T4221816
Position Surface form Disambiguated ID Type / Status
Subject Ongan languages E94356 entity
Predicate hasPart P35 FINISHED
Object 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.
E422497 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-Bea language | Statement: [Ongan languages, hasPart, Aka-Bea language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aka-Bea language
Context triple: [Ongan languages, hasPart, Aka-Bea language]
  • A. 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.
  • B. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • C. Akebu language
    The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Kaxabu language
    The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
  • 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-Bea language
Triple: [Ongan languages, hasPart, Aka-Bea language]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aka-Bea language
Target entity description: 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.
  • A. 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.
  • B. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • C. Akebu language
    The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Kaxabu language
    The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
  • 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_69b59642720c81908e68a56b3d30eef9 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cb73ac81909f83daca406ad8c4 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59a9c386081909c21ad554d403bfc completed March 14, 2026, 5:27 p.m.
Created at: March 12, 2026, 11:04 p.m.