Triple

T18452048
Position Surface form Disambiguated ID Type / Status
Subject Nala E450805 entity
Predicate kingdom P567 FINISHED
Object Nishadha 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: Nishadha | Statement: [Nala, kingdom, Nishadha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishadha
Context triple: [Nala, kingdom, Nishadha]
  • A. Nishadha chosen
    Nishadha is an ancient Indian kingdom mentioned in classical Sanskrit literature, particularly the Mahabharata and related epics.
  • B. Niśītha
    Niśītha is a key Jain canonical text within the Chedasutras, dealing primarily with monastic discipline and rules of conduct for ascetics.
  • C. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • D. Shubrakhit
    Shubrakhit is a town in Egypt’s Nile Delta region, located within the Beheira Governorate.
  • E. 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.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264906cc8190b8b2cb77ec93d480 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.