Triple

T3203821
Position Surface form Disambiguated ID Type / Status
Subject Tiv people E67112 entity
Predicate primaryLocation P3231 FINISHED
Object Taraba State E72649 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: Taraba State | Statement: [Tiv people, primaryLocation, Taraba State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taraba State
Context triple: [Tiv people, primaryLocation, Taraba State]
  • A. Taraba State chosen
    Taraba State is a largely agrarian and ethnically diverse state in northeastern Nigeria, known for its mountainous terrain, the Mambilla Plateau, and significant agricultural production.
  • B. Kota State
    Kota State was a princely state in the Rajputana region of British India, ruled by Rajput princes and centered on the city of Kota in present-day Rajasthan.
  • C. Imo State
    Imo State is a southeastern Nigerian state known for its oil-rich economy, dense population, and cultural heritage of the Igbo people.
  • D. Ngiwal State
    Ngiwal State is one of the states of Palau, located on the eastern coast of the island of Babeldaob.
  • E. Jin State
    Jin State was a powerful feudal kingdom during China’s Spring and Autumn period, known for its military strength and pivotal role in the political balance among the Zhou dynasty states.
  • 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.