Triple

T14886910
Position Surface form Disambiguated ID Type / Status
Subject Larkana District E350149 entity
Predicate contains P35 FINISHED
Object Bakrani
Bakrani is a town and administrative subdivision in Larkana District of Sindh province in Pakistan.
E1126125 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: Bakrani | Statement: [Larkana District, contains, Bakrani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakrani
Context triple: [Larkana District, contains, Bakrani]
  • A. 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.
  • B. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • C. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • D. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • E. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • 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: Bakrani
Triple: [Larkana District, contains, Bakrani]
Generated description
Bakrani is a town and administrative subdivision in Larkana District of Sindh province in Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bakrani
Target entity description: Bakrani is a town and administrative subdivision in Larkana District of Sindh province in Pakistan.
  • A. 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.
  • B. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • C. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • D. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • E. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • 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.