Triple

T2423739
Position Surface form Disambiguated ID Type / Status
Subject Haripur E53477 entity
Predicate languageSpoken P151 FINISHED
Object Hindko E198840 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: Hindko | Statement: [Haripur, languageSpoken, Hindko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindko
Context triple: [Haripur, languageSpoken, Hindko]
  • A. Hindko chosen
    Hindko is a group of Indo-Aryan dialects spoken primarily in northern Pakistan, especially in parts of Khyber Pakhtunkhwa and Azad Kashmir.
  • B. Sant Bhasha
    Sant Bhasha is a historical North Indian devotional literary language used in Sikh and related spiritual poetry, written in the Gurmukhi script.
  • C. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • D. Bagheli
    Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
  • E. Awadhi
    Awadhi is an Indo-Aryan language of northern India, traditionally spoken in parts of Uttar Pradesh and surrounding regions and known for its rich literary and folk traditions.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5e33208190a6899e6672b3daeb completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.