Triple

T3178526
Position Surface form Disambiguated ID Type / Status
Subject Sambalpur E66522 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Odia E24420 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: Odia | Statement: [Sambalpur, hasOfficialLanguage, Odia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odia
Context triple: [Sambalpur, hasOfficialLanguage, Odia]
  • A. Odia chosen
    Odia is an Indo-Aryan language spoken primarily in the Indian state of Odisha, known for its rich literary tradition and classical language status.
  • B. Bangalee
    Bangalee is the popular stage nickname of Nigerian singer, songwriter, and harmonica-playing entertainer D'banj, known for his energetic Afrobeats hits.
  • C. Bangala
    Bangala is a regional variety of the Bantu language Lingala, spoken primarily in parts of the Democratic Republic of the Congo and neighboring areas.
  • D. Banga
    Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
  • E. Banga
    Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69db2088190baa1305892eb148a completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f92a708190b9c627aa43703dfb completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.