Triple

T9664110
Position Surface form Disambiguated ID Type / Status
Subject Iraqi people E233658 entity
Predicate traditionalGarment P19523 FINISHED
Object Dishdasha
Dishdasha is a long, loose-fitting robe commonly worn by men in Iraq and other Arab countries as everyday and ceremonial traditional dress.
 E814589 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: Dishdasha | Statement: [Iraqi people, traditionalGarment, Dishdasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dishdasha
Context triple: [Iraqi people, traditionalGarment, Dishdasha]
  • A. Dishna
    Dishna is a town in Egypt’s Qena Governorate, located in Upper Egypt along the Nile and known for its agricultural surroundings.
  • B. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • C. Dakhal
    Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
  • D. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • E. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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: Dishdasha
Triple: [Iraqi people, traditionalGarment, Dishdasha]
Generated description
Dishdasha is a long, loose-fitting robe commonly worn by men in Iraq and other Arab countries as everyday and ceremonial traditional dress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dishdasha
Target entity description: Dishdasha is a long, loose-fitting robe commonly worn by men in Iraq and other Arab countries as everyday and ceremonial traditional dress.
  • A. Dishna
    Dishna is a town in Egypt’s Qena Governorate, located in Upper Egypt along the Nile and known for its agricultural surroundings.
  • B. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • C. Dakhal
    Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
  • D. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • E. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0e1ef481909c50a4ba5fd94583 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f691c8819093fe133bdbe1c9d1 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d1919b536481908fe80426c9aa6443 completed April 4, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69d191ca17b8819097750a7b638aee72 completed April 4, 2026, 10:33 p.m.
Created at: March 30, 2026, 8:14 p.m.