Triple

T19769134
Position Surface form Disambiguated ID Type / Status
Subject Kailasa Temple E474835 entity
Predicate associatedRuler P2830 FINISHED
Object Dantidurga NE NERFINISHED

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: Dantidurga | Statement: [Kailasa Temple, associatedRuler, Dantidurga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dantidurga
Context triple: [Kailasa Temple, associatedRuler, Dantidurga]
  • A. Dantidurga chosen
    Dantidurga was the founder of the Rashtrakuta Empire in the 8th century, known for overthrowing the Chalukyas and establishing a powerful dynasty in the Deccan region of India.
  • B. Nandivardhana
    Nandivardhana was an ancient city in central India that served as an early political and administrative center for the Vakataka dynasty.
  • C. Durlabharaja
    Durlabharaja was a medieval Indian ruler, likely a Chaulukya (Solanki) prince or king of Gujarat, known from inscriptions and genealogies of the dynasty.
  • D. Devagupta
    Devagupta was a monarch of the Later Gupta dynasty, a post-Gupta ruling house in northern India.
  • E. Bhallaladeva
    Bhallaladeva is the primary antagonist prince in the Indian epic film series "Baahubali," known for his immense strength, ambition, and ruthless pursuit of power.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65359bb9881908f48282b63a83f2f completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.