Triple

T18399572
Position Surface form Disambiguated ID Type / Status
Subject King of Nishadha E449955 entity
Predicate associatedWithRegion P285 FINISHED
Object Nishadha
Nishadha is an ancient Indian kingdom mentioned in classical Sanskrit literature, particularly the Mahabharata and related epics.
 E1322399 NE FINISHED

How this triple was built (4 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: Nishadha | Statement: [King of Nishadha, associatedWithRegion, Nishadha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nishadha
Context triple: [King of Nishadha, associatedWithRegion, Nishadha]
  • A. Niśītha
    Niśītha is a key Jain canonical text within the Chedasutras, dealing primarily with monastic discipline and rules of conduct for ascetics.
  • B. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • C. Shubrakhit
    Shubrakhit is a town in Egypt’s Nile Delta region, located within the Beheira Governorate.
  • D. Siddhi
    Siddhi is a goddess in Hindu mythology, traditionally regarded as one of the wives of the wind god Vayu and associated with spiritual power and accomplishment.
  • E. Savitrī
    Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nishadha
Triple: [King of Nishadha, associatedWithRegion, Nishadha]
Generated description
Nishadha is an ancient Indian kingdom mentioned in classical Sanskrit literature, particularly the Mahabharata and related epics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nishadha
Target entity description: Nishadha is an ancient Indian kingdom mentioned in classical Sanskrit literature, particularly the Mahabharata and related epics.
  • A. Niśītha
    Niśītha is a key Jain canonical text within the Chedasutras, dealing primarily with monastic discipline and rules of conduct for ascetics.
  • B. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • C. Shubrakhit
    Shubrakhit is a town in Egypt’s Nile Delta region, located within the Beheira Governorate.
  • D. Siddhi
    Siddhi is a goddess in Hindu mythology, traditionally regarded as one of the wives of the wind god Vayu and associated with spiritual power and accomplishment.
  • E. Savitrī
    Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
  • F. None of above.

Provenance (5 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518499b1481909c5de786c48faeba completed April 19, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24442588190bbf9aec47467c381 completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e38041e08190953c98c4d79ad1eb completed May 13, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a03e3f0f8b081908172ed48ab890d4f completed May 13, 2026, 2:37 a.m.
Created at: April 10, 2026, 10:46 a.m.