Triple

T15890494
Position Surface form Disambiguated ID Type / Status
Subject Aka-Kede E385304 entity
Predicate relatedTo P37 FINISHED
Object Aka-Kora E389237 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: Aka-Kora | Statement: [Aka-Kede, relatedTo, Aka-Kora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aka-Kora
Context triple: [Aka-Kede, relatedTo, Aka-Kora]
  • A. Aka-Kora chosen
    Aka-Kora is an extinct Great Andamanese language once spoken by the Kora people of North Andaman Island in India.
  • B. Aka-Kede
    Aka-Kede is an extinct Great Andamanese language once spoken by an indigenous community in the Andaman Islands of India.
  • C. Aka-Bale
    Aka-Bale is an extinct Great Andamanese language once spoken by the indigenous Aka-Bale people of the Andaman Islands in India.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Akawaio
    The Akawaio are an Indigenous people of the Guiana Highlands in Guyana, Venezuela, and Brazil, known for their Cariban language and traditional forest-based way of life.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561e5ac481908ead7de3140c769d completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6cd5a881908716f1dcf7d77004 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:51 a.m.