Triple

T14475769
Position Surface form Disambiguated ID Type / Status
Subject Malika-i-Jahan E358966 entity
Predicate etymologyComponent P506 FINISHED
Object Jahan
Jahan is a Persian-derived term meaning "world" or "universe," commonly used in royal and honorific titles across South and Central Asia.
 E1101743 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: Jahan | Statement: [Malika-i-Jahan, etymologyComponent, Jahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jahan
Context triple: [Malika-i-Jahan, etymologyComponent, Jahan]
  • A. Daylam
    Daylam was a mountainous historical region in northern Iran, inhabited by the Daylamite people and known for its fierce warriors and relative autonomy from surrounding empires.
  • B. Tajrish
    Tajrish is a historic and bustling neighborhood in northern Tehran known for its traditional bazaar, central square, and proximity to the Alborz Mountains.
  • C. Shahdad
    Shahdad is an oasis town in Iran’s Kerman Province, known as a gateway to the Lut Desert (Dasht-e Lut) and its striking desert landscapes and kalut formations.
  • D. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • E. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • 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: Jahan
Triple: [Malika-i-Jahan, etymologyComponent, Jahan]
Generated description
Jahan is a Persian-derived term meaning "world" or "universe," commonly used in royal and honorific titles across South and Central Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jahan
Target entity description: Jahan is a Persian-derived term meaning "world" or "universe," commonly used in royal and honorific titles across South and Central Asia.
  • A. Daylam
    Daylam was a mountainous historical region in northern Iran, inhabited by the Daylamite people and known for its fierce warriors and relative autonomy from surrounding empires.
  • B. Tajrish
    Tajrish is a historic and bustling neighborhood in northern Tehran known for its traditional bazaar, central square, and proximity to the Alborz Mountains.
  • C. Shahdad
    Shahdad is an oasis town in Iran’s Kerman Province, known as a gateway to the Lut Desert (Dasht-e Lut) and its striking desert landscapes and kalut formations.
  • D. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • E. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91fc1fc48190842b09aa03ba79f8 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a0553081909fd88d8f39ed1a01 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd698579588190a49f6c7a91266117 completed May 8, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd6a6060488190ab5662037b52c591 completed May 8, 2026, 4:45 a.m.
Created at: April 10, 2026, 1:20 a.m.