Triple

T5895720
Position Surface form Disambiguated ID Type / Status
Subject Baleswari Odia E131095 entity
Predicate hasAlternativeName P39 FINISHED
Object Baleswari Oriya E131095 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: Baleswari Oriya | Statement: [Baleswari Odia, hasAlternativeName, Baleswari Oriya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baleswari Oriya
Context triple: [Baleswari Odia, hasAlternativeName, Baleswari Oriya]
  • A. Baleswari Odia chosen
    Baleswari Odia is a regional variety of the Odia language spoken primarily in the Balasore (Baleswar) region of Odisha, India.
  • B. Bhairavi
    Bhairavi is a fierce and transformative Hindu goddess associated with destruction, time, and spiritual awakening, revered as one of the ten Mahavidyas in Shakta tradition.
  • C. Bhanumati
    Bhanumati is a character in the Indian epic Mahabharata, known as the queen of Hastinapura and wife of the Kaurava prince Duryodhana.
  • D. Bimala
    Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
  • E. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.