Triple

T413262
Position Surface form Disambiguated ID Type / Status
Subject Khyber Pakhtunkhwa E9536 entity
Predicate hasCity P316 FINISHED
Object Mardan
Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
 E54093 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: Mardan | Statement: [Khyber Pakhtunkhwa, hasCity, Mardan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mardan
Context triple: [Khyber Pakhtunkhwa, hasCity, Mardan]
  • A. Zhob
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • B. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • C. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • D. Pkhali
    Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
  • E. Nishapur
    Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
  • 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: Mardan
Triple: [Khyber Pakhtunkhwa, hasCity, Mardan]
Generated description
Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mardan
Target entity description: Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
  • A. Zhob
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • B. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • C. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • D. Pkhali
    Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
  • E. Nishapur
    Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdc422881908910428fd1aee7c6 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f6278808190be4432cf305f525c completed March 1, 2026, 12:21 p.m.
NEDg Description generation batch_69a42fbed33c8190adc5fdebb064ea0a completed March 1, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_69a43057a4688190829bfbe668d3889b completed March 1, 2026, 12:25 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.