Triple

T16798920
Position Surface form Disambiguated ID Type / Status
Subject Sarmast E408303 entity
Predicate languageOfOrigin P151 FINISHED
Object Sindhi language E12831 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: Sindhi language | Statement: [Sarmast, languageOfOrigin, Sindhi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindhi language
Context triple: [Sarmast, languageOfOrigin, Sindhi language]
  • A. Sindhi chosen
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • B. Sindhi Khudabadi
    Sindhi Khudabadi is a historical script used primarily by Sindhi-speaking merchant communities for writing the Sindhi language, especially in commercial and administrative contexts.
  • C. Abbottabadi Hindko
    Abbottabadi Hindko is a regional variety of the Hindko language spoken primarily in and around the city of Abbottabad in northern Pakistan.
  • D. Urdu language
    Urdu is a major South Asian language, written in a Perso-Arabic script and widely used in Pakistan and parts of India in literature, media, and everyday communication.
  • E. Saraiki
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2abc430819080c1303eded5f416 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0adc408190a9cbfefdef8c669e completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:22 a.m.