Triple

T3670708
Position Surface form Disambiguated ID Type / Status
Subject Jatki E77871 entity
Predicate partOf P40 FINISHED
Object Saraiki language 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 language | Statement: [Jatki, partOf, Saraiki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saraiki language
Context triple: [Jatki, partOf, Saraiki language]
  • 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. Kohistani languages
    The Kohistani languages are a group of closely related Indo-Aryan languages spoken primarily in the mountainous Kohistan and surrounding regions of 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. Shushtari dialect
    The Shushtari dialect is a regional variety of Persian spoken in and around the city of Shushtar in southwestern Iran, reflecting distinctive phonological and lexical features within the Southwestern Iranian language group.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42c96648190abbd5d23b25d6a6b completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e0abd08190895897c62a7a5243 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:25 p.m.