Triple

T13611870
Position Surface form Disambiguated ID Type / Status
Subject Paramara dynasty E325208 entity
Predicate capital P234 FINISHED
Object Dhara E1047724 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: Dhara | Statement: [Paramara dynasty, capital, Dhara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhara
Context triple: [Paramara dynasty, capital, Dhara]
  • A. Dhara chosen
    Dhara was the historic capital city of the Paramara dynasty in central India, known as an important political and cultural center during the medieval period.
  • B. Dushala
    Dushala is a character in the Indian epic Mahabharata, known as the only sister of the Kauravas and Pandavas and the daughter of King Dhritarashtra and Queen Gandhari.
  • C. Dharni
    Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
  • D. Vaidehi
    Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
  • E. Sarabha
    Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9a9f9c81909b0a8f4f51c461ae completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.