Triple

T2959331
Position Surface form Disambiguated ID Type / Status
Subject Khetrani E80006 entity
Predicate languageShiftTowards P4292 FINISHED
Object Saraiki E14560 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: Saraiki | Statement: [Khetrani, languageShiftTowards, Saraiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saraiki
Context triple: [Khetrani, languageShiftTowards, Saraiki]
  • A. Saraiki chosen
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • B. Khowar
    Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
  • C. Sindhi
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • D. Dogri
    Dogri is an Indo-Aryan language spoken primarily in the Jammu region of India and surrounding areas, recognized as one of the official languages of India.
  • E. Balochi
    Balochi is an Iranian language spoken primarily by the Baloch people across Pakistan, Iran, and Afghanistan, with several dialects and a rich oral literary tradition.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992c4c7c819084b5bef299255181 completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eedb51b88190b7a009d45361fd32 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 2:57 p.m.