Triple

T3973559
Position Surface form Disambiguated ID Type / Status
Subject Sikh rupee E85587 entity
Predicate mintedIn P9577 FINISHED
Object Multan Mint
Multan Mint was a historical minting facility in the city of Multan that produced coinage, including Sikh rupees, during regional and imperial rule in South Asia.
 E403501 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: Multan Mint | Statement: [Sikh rupee, mintedIn, Multan Mint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Multan Mint
Context triple: [Sikh rupee, mintedIn, Multan Mint]
  • A. Khairabadi
    Khairabadi is a South Asian surname most notably associated with the prominent Islamic scholar and poet Fazl-e-Haq Khairabadi and his descendants.
  • B. Multani
    Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
  • C. Shakarparian
    Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
  • D. Torghundi
    Torghundi is a town and border crossing point in northwestern Afghanistan that serves as a key transit hub between Afghanistan and Turkmenistan.
  • E. Okhla
    Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
  • 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: Multan Mint
Triple: [Sikh rupee, mintedIn, Multan Mint]
Generated description
Multan Mint was a historical minting facility in the city of Multan that produced coinage, including Sikh rupees, during regional and imperial rule in South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Multan Mint
Target entity description: Multan Mint was a historical minting facility in the city of Multan that produced coinage, including Sikh rupees, during regional and imperial rule in South Asia.
  • A. Khairabadi
    Khairabadi is a South Asian surname most notably associated with the prominent Islamic scholar and poet Fazl-e-Haq Khairabadi and his descendants.
  • B. Multani
    Multani is a major dialect of the Saraiki language spoken primarily in the Multan region of Pakistan.
  • C. Shakarparian
    Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
  • D. Torghundi
    Torghundi is a town and border crossing point in northwestern Afghanistan that serves as a key transit hub between Afghanistan and Turkmenistan.
  • E. Okhla
    Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef99837cc8190b8b2464707f5e334 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540139c2c819080aa19b13540c76a completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540ec36a4819082a9cbefc99bd683 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b5416d182c81908b1ae43ed097d288 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:32 p.m.