Triple

T22136511
Position Surface form Disambiguated ID Type / Status
Subject Panchjanya E547042 entity
Predicate regionOfInfluence P2828 FINISHED
Object Hindi belt 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: Hindi belt | Statement: [Panchjanya, regionOfInfluence, Hindi belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindi belt
Context triple: [Panchjanya, regionOfInfluence, Hindi belt]
  • A. Hindi Belt chosen
    The Hindi Belt is a broad region of northern and central India where Hindi and its related dialects are predominantly spoken and culturally influential.
  • B. Bandhni
    Bandhni is a traditional Indian tie-dye textile art known for its intricate patterns created by plucking, tying, and dyeing small sections of fabric.
  • C. Garhi Dupatta
    Garhi Dupatta is a small town in Pakistan-administered Azad Kashmir, situated along the Jhelum River and known as a local hub on the route between Muzaffarabad and the upper Jhelum Valley.
  • D. Bareli
    Bareli is a town in the Raisen district of the central Indian state of Madhya Pradesh, known as a local commercial and administrative center.
  • E. Bagheli
    Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bac764819099ba4896a161ef1c completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.