Triple

T3670691
Position Surface form Disambiguated ID Type / Status
Subject Multani E77870 entity
Predicate hasAlternativeName P39 FINISHED
Object Multani 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: Multani Saraiki | Statement: [Multani, hasAlternativeName, Multani Saraiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Multani Saraiki
Context triple: [Multani, hasAlternativeName, Multani Saraiki]
  • A. Saraiki chosen
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • B. Sindhi
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • C. 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.
  • 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. 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.
  • 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_69b4cde628c08190adc058d8d35a5e5d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:25 p.m.