Triple

T8641959
Position Surface form Disambiguated ID Type / Status
Subject Khaybar E204671 entity
Predicate hasArabicName P6450 FINISHED
Object خيبر
خيبر واحة تاريخية في شمال غرب الجزيرة العربية اشتهرت بحصونها ومعركتها الشهيرة في صدر الإسلام.
 E747384 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: خيبر | Statement: [Khaybar, hasArabicName, خيبر]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: خيبر
Context triple: [Khaybar, hasArabicName, خيبر]
  • A. Khuzdar
    Khuzdar is a major city in central Balochistan that serves as an important regional commercial and administrative center in southwestern Pakistan.
  • B. Khudabad
    Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
  • C. Ghor
    Ghor is a low-lying, fertile region within the Jordan Rift Valley known for its agricultural lands and proximity to the Jordan River.
  • D. Küblis
    Küblis is a small Swiss municipality in the canton of Graubünden, known as a gateway village in the Prättigau valley and a base for nearby alpine and winter sports activities.
  • E. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • 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: خيبر
Triple: [Khaybar, hasArabicName, خيبر]
Generated description
خيبر واحة تاريخية في شمال غرب الجزيرة العربية اشتهرت بحصونها ومعركتها الشهيرة في صدر الإسلام.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: خيبر
Target entity description: خيبر واحة تاريخية في شمال غرب الجزيرة العربية اشتهرت بحصونها ومعركتها الشهيرة في صدر الإسلام.
  • A. Khuzdar
    Khuzdar is a major city in central Balochistan that serves as an important regional commercial and administrative center in southwestern Pakistan.
  • B. Khudabad
    Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
  • C. Ghor
    Ghor is a low-lying, fertile region within the Jordan Rift Valley known for its agricultural lands and proximity to the Jordan River.
  • D. Küblis
    Küblis is a small Swiss municipality in the canton of Graubünden, known as a gateway village in the Prättigau valley and a base for nearby alpine and winter sports activities.
  • E. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4795b07081908bfc9ebf35a50f07 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cebf12eec081909c40ccced9c1c52b completed April 2, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69cebf7302b08190bdfc84aac3147954 completed April 2, 2026, 7:11 p.m.
Created at: March 30, 2026, 6:28 p.m.