Triple

T19734828
Position Surface form Disambiguated ID Type / Status
Subject Umaria district E473951 entity
Predicate region P40 FINISHED
Object Mahakoshal 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: Mahakoshal | Statement: [Umaria district, region, Mahakoshal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahakoshal
Context triple: [Umaria district, region, Mahakoshal]
  • A. 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.
  • B. Mahakoshal region chosen
    The Mahakoshal region is a historical and cultural area in central India, largely corresponding to parts of present-day Madhya Pradesh and known for its diverse tribal communities and rich linguistic and cultural heritage.
  • C. Karkotaka
    Karkotaka is a serpent king in Hindu mythology, known for his role in the legends of King Nala and his association with curses and transformation.
  • D. Panchala
    Panchala was an ancient Indian kingdom of the Mahabharata era, known for its powerful rulers and as the homeland of Draupadi.
  • E. Uttaradit
    Uttaradit is a provincial capital in northern Thailand known as a regional transport hub and gateway to nearby historical and natural attractions.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.