Triple

T21617546
Position Surface form Disambiguated ID Type / Status
Subject Amitraghata E533483 entity
Predicate mother P120 FINISHED
Object Durdhara 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: Durdhara | Statement: [Amitraghata, mother, Durdhara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durdhara
Context triple: [Amitraghata, mother, Durdhara]
  • A. Durdhara chosen
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • B. Dighwara
    Dighwara is a prominent town in Bihar, India, known as one of the major urban centers of Saran district.
  • C. Dargai
    Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
  • D. Dhamar
    Dhamar is a historic city in Yemen known as an important political and cultural center, particularly during the rule of the Rassid dynasty.
  • E. Dhordo
    Dhordo is a village in Gujarat, India, renowned as a gateway to the White Rann of Kutch and a popular desert tourism destination.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bac4a5c8190919c625c14a54c16 completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.