Triple

T16033167
Position Surface form Disambiguated ID Type / Status
Subject western Punjab region E388898 entity
Predicate hasDialect P4251 FINISHED
Object Jatki E77871 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: Jatki | Statement: [western Punjab region, hasDialect, Jatki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jatki
Context triple: [western Punjab region, hasDialect, Jatki]
  • A. Jatki chosen
    Jatki is a regional dialect of the Saraiki language spoken primarily in parts of Pakistan.
  • B. Juketau
    Juketau was a notable medieval settlement within the historical region of Volga Bulgaria, likely serving as a local center of trade or administration.
  • C. Jaugada
    Jaugada is an ancient fortified settlement in present-day Odisha, India, best known for its Mauryan-era remains and an important rock edict of Emperor Ashoka.
  • D. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • E. Partakko
    Partakko is a small village in the municipality of Inari in northern Finnish Lapland.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183396a708190b53a589f6ac2c5bc completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf373f548190abfc93aa238b97fd completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.