Triple

T10540600
Position Surface form Disambiguated ID Type / Status
Subject Paktika Province E248683 entity
Predicate capital P234 FINISHED
Object Sharana
Sharana is a small Afghan city that serves as the administrative and economic center of Paktika Province in southeastern Afghanistan.
 E870992 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: Sharana | Statement: [Paktika Province, capital, Sharana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sharana
Context triple: [Paktika Province, capital, Sharana]
  • A. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • B. Limal
    Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
  • C. Asha
    Asha is the given name of legendary Indian playback singer Asha Bhosle, renowned for her versatile and prolific contributions to Hindi cinema music.
  • D. Asha
    Asha is a central Zoroastrian and Iranian mythological concept representing truth, cosmic order, and righteousness that upholds the moral and natural structure of the universe.
  • E. Shila Ommi
    Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
  • 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: Sharana
Triple: [Paktika Province, capital, Sharana]
Generated description
Sharana is a small Afghan city that serves as the administrative and economic center of Paktika Province in southeastern Afghanistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sharana
Target entity description: Sharana is a small Afghan city that serves as the administrative and economic center of Paktika Province in southeastern Afghanistan.
  • A. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • B. Limal
    Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
  • C. Asha
    Asha is the given name of legendary Indian playback singer Asha Bhosle, renowned for her versatile and prolific contributions to Hindi cinema music.
  • D. Asha
    Asha is a central Zoroastrian and Iranian mythological concept representing truth, cosmic order, and righteousness that upholds the moral and natural structure of the universe.
  • E. Shila Ommi
    Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d93802a4488190aa86ae209650d4e7 completed April 10, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69d938fcc3c48190a4acaaf75c1aa304 completed April 10, 2026, 5:53 p.m.
Created at: April 6, 2026, 12:32 p.m.