Triple

T14886909
Position Surface form Disambiguated ID Type / Status
Subject Larkana District E350149 entity
Predicate contains P35 FINISHED
Object Dokri
Dokri is a town in Pakistan’s Sindh province, known as an agricultural center within the Larkana region.
 E1126124 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: Dokri | Statement: [Larkana District, contains, Dokri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dokri
Context triple: [Larkana District, contains, Dokri]
  • A. Trilokasara
    Trilokasara is a significant Jain philosophical text that systematically describes the structure and nature of the three worlds (loka) in Jain cosmology.
  • B. 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.
  • C. Dola
    Dola is an island located within Lake Rakshastal in western Tibet, near the sacred Mount Kailash region.
  • D. Sirkhi
    Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
  • E. Shekhani
    Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • 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: Dokri
Triple: [Larkana District, contains, Dokri]
Generated description
Dokri is a town in Pakistan’s Sindh province, known as an agricultural center within the Larkana region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dokri
Target entity description: Dokri is a town in Pakistan’s Sindh province, known as an agricultural center within the Larkana region.
  • A. Trilokasara
    Trilokasara is a significant Jain philosophical text that systematically describes the structure and nature of the three worlds (loka) in Jain cosmology.
  • B. 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.
  • C. Dola
    Dola is an island located within Lake Rakshastal in western Tibet, near the sacred Mount Kailash region.
  • D. Sirkhi
    Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
  • E. Shekhani
    Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6f9b33748190aee0c27879866ca1 completed May 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69fe703e8c28819081b7bfe638a2202e completed May 8, 2026, 11:22 p.m.
Created at: April 10, 2026, 1:56 a.m.