Triple

T1777246
Position Surface form Disambiguated ID Type / Status
Subject Potohari E39207 entity
Predicate alternativeName P39 FINISHED
Object Pothohari
Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
 E201721 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: Pothohari | Statement: [Potohari, alternativeName, Pothohari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pothohari
Context triple: [Potohari, alternativeName, Pothohari]
  • A. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • B. Mingora
    Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
  • C. Chanhudaro
    Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
  • D. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • E. Gilgit
    Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
  • 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: Pothohari
Triple: [Potohari, alternativeName, Pothohari]
Generated description
Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pothohari
Target entity description: Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
  • A. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • B. Mingora
    Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
  • C. Chanhudaro
    Chanhudaro is an archaeological site in present-day Pakistan known as a smaller but significant urban center of the Indus Valley Civilization, notable for its craft production and bead-making.
  • D. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • E. Gilgit
    Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b967f08190a73216361b9c2d83 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c96694819085f3ccafb141802f completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b3c0a48190bf5f3a32d8862c54 completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb97b8c8081909a806d16efd5882b completed March 8, 2026, 6:01 p.m.
Created at: March 4, 2026, 7:31 p.m.