Triple

T17981820
Position Surface form Disambiguated ID Type / Status
Subject Kuru E449618 entity
Predicate rivalOf P22658 FINISHED
Object Panchala (in epic tradition) 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: Panchala (in epic tradition) | Statement: [Kuru, rivalOf, Panchala (in epic tradition)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panchala (in epic tradition)
Context triple: [Kuru, rivalOf, Panchala (in epic tradition)]
  • A. Panchala chosen
    Panchala was an ancient Indian kingdom of the Mahabharata era, known for its powerful rulers and as the homeland of Draupadi.
  • B. Pampa Ramayana
    Pampa Ramayana is a seminal 10th-century Kannada retelling of the Ramayana by the poet Adikavi Pampa, renowned for its classical style and literary influence in Kannada literature.
  • C. Pampa Bharata
    Pampa Bharata is a 10th-century Kannada epic poem by the poet Pampa, retelling the Mahabharata with a Jain and regional literary perspective.
  • D. Vilanka Ramayana
    Vilanka Ramayana is an Odia retelling of the Ramayana traditionally attributed to the 15th-century poet Sarala Das, known for its regional flavor and distinctive narrative style.
  • E. Puran
    Puran is a town and administrative subdivision located in Shangla District of Pakistan’s Khyber Pakhtunkhwa province.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b20431588190a5fe2148a61de403 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.