Triple

T14099696
Position Surface form Disambiguated ID Type / Status
Subject Kamorta E339346 entity
Predicate hasLanguage P15 FINISHED
Object Nicobarese language E91415 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: Nicobarese language | Statement: [Kamorta, hasLanguage, Nicobarese language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicobarese language
Context triple: [Kamorta, hasLanguage, Nicobarese language]
  • A. Nicobarese languages chosen
    The Nicobarese languages are a group of Austroasiatic languages spoken by the indigenous Nicobarese people of India’s Nicobar Islands in the eastern Indian Ocean.
  • B. Nias language
    Nias language is an Austronesian language spoken primarily on Nias Island off the western coast of Sumatra in Indonesia, known for its complex phonology and distinctive grammatical features.
  • C. Andamanese
    Andamanese refers to the indigenous peoples and their distinct language families native to the Andaman Islands in the Bay of Bengal.
  • D. Mundari
    The Mundari are a Nilotic ethnic group of South Sudan known for their cattle-herding culture and pastoralist lifestyle.
  • E. Mundari
    Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.