Triple

T7641427
Position Surface form Disambiguated ID Type / Status
Subject Southern Pakistan E173018 entity
Predicate hasMajorCity P316 FINISHED
Object Ghotki
Ghotki is a city in Pakistan’s Sindh province known for its agricultural economy and proximity to major gas fields and industrial installations.
E680701 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: Ghotki | Statement: [Southern Pakistan, hasMajorCity, Ghotki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghotki
Context triple: [Southern Pakistan, hasMajorCity, Ghotki]
  • A. Chiniot
    Chiniot is a historic city in Pakistan’s Punjab province, renowned for its intricate woodwork, furniture craftsmanship, and architectural heritage along the Chenab River.
  • B. Pothohari
    Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
  • C. Ladwa
    Ladwa is a town in the northern Indian state of Haryana, known as a local commercial and agricultural hub within the Kurukshetra region.
  • D. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • E. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • 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: Ghotki
Triple: [Southern Pakistan, hasMajorCity, Ghotki]
Generated description
Ghotki is a city in Pakistan’s Sindh province known for its agricultural economy and proximity to major gas fields and industrial installations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ghotki
Target entity description: Ghotki is a city in Pakistan’s Sindh province known for its agricultural economy and proximity to major gas fields and industrial installations.
  • A. Chiniot
    Chiniot is a historic city in Pakistan’s Punjab province, renowned for its intricate woodwork, furniture craftsmanship, and architectural heritage along the Chenab River.
  • B. Pothohari
    Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
  • C. Ladwa
    Ladwa is a town in the northern Indian state of Haryana, known as a local commercial and agricultural hub within the Kurukshetra region.
  • D. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • E. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facefbe08190882bd76cf3cd605e completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2159cd0819085bfdb8c7694077b completed March 29, 2026, 3:52 a.m.
NEDg Description generation batch_69c8a2d073b08190a056e23cfdf13983 completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a37fabe481908c7da8a5d71a3f1c completed March 29, 2026, 3:58 a.m.
Created at: March 27, 2026, 3:57 p.m.