Triple

T12217931
Position Surface form Disambiguated ID Type / Status
Subject Kannauj E291133 entity
Predicate historicalName P65 FINISHED
Object Kanyakubja E681120 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: Kanyakubja | Statement: [Kannauj, historicalName, Kanyakubja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanyakubja
Context triple: [Kannauj, historicalName, Kanyakubja]
  • A. Kanyakubja chosen
    Kanyakubja, also known as Kannauj, is an ancient and historically significant city in northern India that served as a major political and cultural center for several powerful dynasties.
  • B. Kuhelika
    Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
  • C. Gajanana
    Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
  • D. Vaijayanti
    Vaijayanti is the ancient name of Banavasi, a historic town in Karnataka, India, renowned as one of the oldest centers of Hindu and Jain culture in the region.
  • E. Kanchanmala
    Kanchanmala is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa31f548190bd4f8cfe3c55614b completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.