Triple

T11746124
Position Surface form Disambiguated ID Type / Status
Subject Buner District E279284 entity
Predicate hasSettlement P1068 FINISHED
Object Sowari
Sowari is a town that serves as the administrative center of Buner District in Pakistan's Khyber Pakhtunkhwa province.
 E944620 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: Sowari | Statement: [Buner District, hasSettlement, Sowari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sowari
Context triple: [Buner District, hasSettlement, Sowari]
  • A. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • B. Godwari
    Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
  • C. Sohrai
    Sohrai is a traditional harvest and cattle-worship festival celebrated by the Santal people, marked by ritual observances, feasting, and distinctive wall paintings.
  • D. Sahodhari
    Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
  • E. Sawndip
    Sawndip is the traditional logographic script used for writing the Zhuang language, based largely on adapted Chinese characters.
  • 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: Sowari
Triple: [Buner District, hasSettlement, Sowari]
Generated description
Sowari is a town that serves as the administrative center of Buner District in Pakistan's Khyber Pakhtunkhwa province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sowari
Target entity description: Sowari is a town that serves as the administrative center of Buner District in Pakistan's Khyber Pakhtunkhwa province.
  • A. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • B. Godwari
    Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
  • C. Sohrai
    Sohrai is a traditional harvest and cattle-worship festival celebrated by the Santal people, marked by ritual observances, feasting, and distinctive wall paintings.
  • D. Sahodhari
    Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
  • E. Sawndip
    Sawndip is the traditional logographic script used for writing the Zhuang language, based largely on adapted Chinese characters.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019f5f29c81909d80a9e6127ec6ef completed April 28, 2026, 2:22 a.m.
NEDg Description generation batch_69f0319520dc8190817c5e75ddb7d40b completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.