Triple

T9488025
Position Surface form Disambiguated ID Type / Status
Subject Kati language E228811 entity
Predicate hasDialect P4251 FINISHED
Object Shekhani
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
E801741 NE FINISHED

How this triple was built (4 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: Shekhani | Statement: [Kati language, hasDialect, Shekhani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shekhani
Context triple: [Kati language, hasDialect, Shekhani]
  • A. Shekhan
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Salbai
    Salbai is a historical location in India known primarily as the site where the 1782 Treaty of Salbai was concluded between the British East India Company and the Maratha Empire.
  • C. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • D. Dharni
    Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
  • E. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shekhani
Triple: [Kati language, hasDialect, Shekhani]
Generated description
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shekhani
Target entity description: Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • A. Shekhan
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Salbai
    Salbai is a historical location in India known primarily as the site where the 1782 Treaty of Salbai was concluded between the British East India Company and the Maratha Empire.
  • C. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • D. Dharni
    Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
  • E. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • F. None of above. chosen

Provenance (5 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:55 p.m.