Triple

T19381455
Position Surface form Disambiguated ID Type / Status
Subject Yajnaseni E484818 entity
Predicate bornIn P1 FINISHED
Object Panchala E473849 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: Panchala | Statement: [Yajnaseni, bornIn, Panchala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panchala
Context triple: [Yajnaseni, bornIn, Panchala]
  • 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. Kosala
    Kosala is an ancient Indian kingdom in Hindu epic tradition, most prominently known as the realm ruled by Lord Rama with its capital at Ayodhya.
  • C. Kishkindha region
    The Kishkindha region is the legendary monkey kingdom in the Indian epic Ramayana, ruled by Sugriva and central to Rama’s alliance with the Vanara army.
  • D. Charotar
    Charotar is a fertile, culturally distinct region of central Gujarat in western India, known for its agrarian prosperity and significant diaspora.
  • E. Magadha
    Magadha was an ancient Indian kingdom and region in the eastern Gangetic plain that became a powerful political and cultural center, forming the core of several major empires.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a6075a88190aed7afa3b8fd3021 completed April 20, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072422e01481908d0e6233017be7f6 completed May 15, 2026, 1:48 p.m.
Created at: April 10, 2026, 1:35 p.m.