Triple

T12741967
Position Surface form Disambiguated ID Type / Status
Subject Doaba (Punjab) E304508 entity
Predicate hasDialect P4251 FINISHED
Object Doabi Punjabi E304816 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: Doabi Punjabi | Statement: [Doaba (Punjab), hasDialect, Doabi Punjabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doabi Punjabi
Context triple: [Doaba (Punjab), hasDialect, Doabi Punjabi]
  • A. Doabi Punjabi chosen
    Doabi Punjabi is a regional variety of the Punjabi language spoken primarily in the Doaba region of the Indian state of Punjab.
  • B. Malwai Punjabi
    Malwai Punjabi is a regional variety of the Punjabi language spoken primarily in the Malwa region of the Indian state of Punjab.
  • C. Potohari Punjabi
    Potohari Punjabi is a regional variety of the Punjabi language spoken primarily in Pakistan’s Potohar Plateau and surrounding northern Punjab areas.
  • D. Majhi Punjabi
    Majhi Punjabi is the central and most prestigious dialect of the Punjabi language, traditionally spoken in the Majha region of Punjab, including areas around Amritsar and Lahore.
  • E. Tanoli Hindko
    Tanoli Hindko is a regional variety of the Hindko language traditionally spoken by members of the Tanoli community in parts of northern Pakistan.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd321bc81908eb61cc05b550754 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.