Triple

T21108804
Position Surface form Disambiguated ID Type / Status
Subject Train to Pakistan E520122 entity
Predicate featuresCharacter P626 FINISHED
Object Nooran
Nooran is a young Muslim woman in Khushwant Singh’s novel "Train to Pakistan," whose forbidden love with a Sikh man highlights the human cost of the Partition of India.
E1467570 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: Nooran | Statement: [Train to Pakistan, featuresCharacter, Nooran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nooran
Context triple: [Train to Pakistan, featuresCharacter, Nooran]
  • A. Noori
    Noori is a legendary female figure celebrated in Sindhi folklore and Sufi poetry as one of the Seven Queens immortalized by Shah Abdul Latif Bhittai for her humility and devotion.
  • B. Noor
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • C. Noor
    Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
  • D. Noor
    Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
  • E. Nahrin
    Nahrin is a town and district center in northern Afghanistan known for its location in a seismically active, mountainous area of Baghlan Province.
  • 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: Nooran
Triple: [Train to Pakistan, featuresCharacter, Nooran]
Generated description
Nooran is a young Muslim woman in Khushwant Singh’s novel "Train to Pakistan," whose forbidden love with a Sikh man highlights the human cost of the Partition of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nooran
Target entity description: Nooran is a young Muslim woman in Khushwant Singh’s novel "Train to Pakistan," whose forbidden love with a Sikh man highlights the human cost of the Partition of India.
  • A. Noori
    Noori is a legendary female figure celebrated in Sindhi folklore and Sufi poetry as one of the Seven Queens immortalized by Shah Abdul Latif Bhittai for her humility and devotion.
  • B. Noor
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • C. Noor
    Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
  • D. Noor
    Noor is a given name of Arabic origin meaning "light," used for both males and females in various cultures.
  • E. Nahrin
    Nahrin is a town and district center in northern Afghanistan known for its location in a seismically active, mountainous area of Baghlan Province.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720ffa998819082db225363ac3b23 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965dd465c8190af8448d5db296d79 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966cac97c81908664b3bc590d2d27 completed May 17, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_6a096727e5848190a2e4958e3b9e0072 completed May 17, 2026, 6:58 a.m.
Created at: April 16, 2026, 2:54 p.m.