Triple

T4515552
Position Surface form Disambiguated ID Type / Status
Subject Pandavas E102144 entity
Predicate associatedPlace P1481 FINISHED
Object Indraprastha E115663 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: Indraprastha | Statement: [Pandavas, associatedPlace, Indraprastha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indraprastha
Context triple: [Pandavas, associatedPlace, Indraprastha]
  • A. Indraprastha chosen
    Indraprastha is the legendary capital city of the Pandavas in the Indian epic Mahabharata, often identified with the region of present-day Delhi.
  • B. Ayodhya
    Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
  • C. Dwarka
    Dwarka is an ancient and sacred coastal city in western India, traditionally revered in Hinduism as the kingdom established and ruled by Lord Krishna.
  • D. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • E. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5725745c81908bb462ba9537ae14 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f8f66ac8190b719a653686c7258 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:02 p.m.