Triple

T3203826
Position Surface form Disambiguated ID Type / Status
Subject Tiv people E67112 entity
Predicate language P15 FINISHED
Object Tiv language E67113 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: Tiv language | Statement: [Tiv people, language, Tiv language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiv language
Context triple: [Tiv people, language, Tiv language]
  • A. Tiv language chosen
    Tiv language is a Southern Bantoid language of the Benue–Congo family spoken predominantly by the Tiv people of central Nigeria and parts of Cameroon.
  • B. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • C. Tujia language
    The Tujia language is a Sino-Tibetan language spoken primarily by the Tujia ethnic group in parts of central China, notably in mountainous areas of Hubei, Hunan, and neighboring provinces.
  • D. Tati language
    The Tati language is a group of closely related Northwestern Iranian dialects spoken primarily in parts of northwestern Iran and the Caucasus, noted for preserving many archaic features of Old Iranian.
  • E. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa54124c8190a22089ce2eaedab5 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.