Triple

T13228711
Position Surface form Disambiguated ID Type / Status
Subject Kishanganj E314951 entity
Predicate hasRegionalLanguage P2982 FINISHED
Object Khortha E295178 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: Khortha | Statement: [Kishanganj, hasRegionalLanguage, Khortha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khortha
Context triple: [Kishanganj, hasRegionalLanguage, Khortha]
  • A. Khortha chosen
    Khortha is an Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional vernacular among local communities.
  • B. Khorta
    Khorta is an Indo-Aryan language spoken primarily in the Indian states of Jharkhand and Bihar, closely related to Magahi and Hindi.
  • C. Kthi
    Kthi is the ISO 15924 four-letter code assigned to the Kaithi script used historically for writing several languages of northern India.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Khunanup
    Khunanup is the eloquent peasant protagonist of an ancient Egyptian literary tale, renowned for his articulate pleas for justice before the authorities.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:21 p.m.