Triple

T13917738
Position Surface form Disambiguated ID Type / Status
Subject Sahib-Qiran E334665 entity
Predicate hasComponent P35 FINISHED
Object Qiran
Qiran is a term from Islamic and Persianate tradition referring to an auspicious conjunction or union, often associated with celestial or fateful alignments.
 E1070314 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: Qiran | Statement: [Sahib-Qiran, hasComponent, Qiran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qiran
Context triple: [Sahib-Qiran, hasComponent, Qiran]
  • A. Tokhi
    Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
  • B. Wuye
    Wuye is a developing residential and commercial district located within Nigeria’s Federal Capital Territory, Abuja.
  • C. Hushang
    Hushang is a legendary king in Iranian mythology, celebrated in the Shahnameh as a wise ruler credited with early civilizational innovations such as the discovery of fire.
  • D. Jindian
    Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
  • E. Qishan
    Qishan was a high-ranking Qing dynasty official and diplomat who played a key role in negotiating with the British during the First Opium War.
  • 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: Qiran
Triple: [Sahib-Qiran, hasComponent, Qiran]
Generated description
Qiran is a term from Islamic and Persianate tradition referring to an auspicious conjunction or union, often associated with celestial or fateful alignments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qiran
Target entity description: Qiran is a term from Islamic and Persianate tradition referring to an auspicious conjunction or union, often associated with celestial or fateful alignments.
  • A. Tokhi
    Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
  • B. Wuye
    Wuye is a developing residential and commercial district located within Nigeria’s Federal Capital Territory, Abuja.
  • C. Hushang
    Hushang is a legendary king in Iranian mythology, celebrated in the Shahnameh as a wise ruler credited with early civilizational innovations such as the discovery of fire.
  • D. Jindian
    Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
  • E. Qishan
    Qishan was a high-ranking Qing dynasty official and diplomat who played a key role in negotiating with the British during the First Opium War.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd56da288190b2bd33bc496c3fb9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb039fdb1c8190ad5286d1cfe80a29 completed May 6, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:16 p.m.