Triple

T15486994
Position Surface form Disambiguated ID Type / Status
Subject Dakhni Urdu masnavis E377072 entity
Predicate language P15 FINISHED
Object Dakhni Urdu E375901 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: Dakhni Urdu | Statement: [Dakhni Urdu masnavis, language, Dakhni Urdu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakhni Urdu
Context triple: [Dakhni Urdu masnavis, language, Dakhni Urdu]
  • A. Saraiki
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • B. Abbottabadi Hindko
    Abbottabadi Hindko is a regional variety of the Hindko language spoken primarily in and around the city of Abbottabad in northern Pakistan.
  • C. Dakhni Urdu ghazals chosen
    Dakhni Urdu ghazals are early South Indian Urdu lyric poems that blend Persianate courtly aesthetics with local Deccani language and culture, exemplified in the pioneering works of Muhammad Quli Qutb Shah.
  • D. 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.
  • E. 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.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8f71a08190a440ff19dcc65312 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:47 a.m.