Triple

T15672582
Position Surface form Disambiguated ID Type / Status
Subject Kashmore E377351 entity
Predicate languageUsed P238 FINISHED
Object Sindhi 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 | Statement: [Kashmore, languageUsed, Sindhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindhi
Context triple: [Kashmore, languageUsed, Sindhi]
  • 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. Punjabi
    Punjabi refers to the ethnolinguistic group native to the Punjab region of South Asia, known for its distinct language, culture, and traditions shared across parts of India and Pakistan.
  • C. 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.
  • D. Kashmiri
    Kashmiri refers to the ethnic group native to the Kashmir Valley in the northern part of the Indian subcontinent, known for its distinct language, culture, and traditions.
  • E. Abbottabadi Hindko
    Abbottabadi Hindko is a regional variety of the Hindko language spoken primarily in and around the city of Abbottabad in 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f13b1b08190beabc9f4098aa096 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed079e48190b86ad7b66755fc1c completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:16 a.m.