Triple

T34183390
Position Surface form Disambiguated ID Type / Status
Subject عثمان بن عفان E876887 entity
Predicate دُفن_في P58438 FINISHED
Object البقيع (المدينة المنورة)
البقيع في المدينة المنورة هو أقدم وأشهر مقبرة إسلامية تضم قبور عدد كبير من الصحابة وأهل بيت النبي محمد صلى الله عليه وسلم.
 E2083460 NE FINISHED

How this triple was built (3 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: البقيع (المدينة المنورة) | Statement: [عثمان بن عفان, دُفن_في, البقيع (المدينة المنورة)]
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: البقيع (المدينة المنورة)
Triple: [عثمان بن عفان, دُفن_في, البقيع (المدينة المنورة)]
Generated description
البقيع في المدينة المنورة هو أقدم وأشهر مقبرة إسلامية تضم قبور عدد كبير من الصحابة وأهل بيت النبي محمد صلى الله عليه وسلم.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: دُفن_في
Context triple: [عثمان بن عفان, دُفن_في, البقيع (المدينة المنورة)]
  • A. isBuriedIn chosen
    Indicates that one entity is located beneath the ground or enclosed within another entity, typically as in a grave, tomb, or burial site.
  • B. foundInTomb
    Indicates that an object or entity was discovered within a specific tomb or burial site.
  • C. buriedWith
    Indicates that one entity is interred in the same grave, tomb, or burial site as another entity.
  • D. buriedUnder
    Indicates that one entity is located beneath another entity in such a way that it is covered or concealed by it, as if buried.
  • E. tombLocatedIn
    Indicates that a particular tomb is situated within or at a specified location or place.
  • F. None of above.

Provenance (6 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_69f349ae640c8190b9cd220b5368d8b6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f710075ce48190ad41ebd08e640c1e completed May 3, 2026, 9:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1e22068819098045da588a4e7c8 completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c3295a388190bf111245d6fd4611 completed June 20, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_6a36c3840f2c8190b358027dbbcd2220 completed June 20, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69f70f3c5bfc81908585f52e196dafe5 completed May 3, 2026, 9:02 a.m.
Created at: May 1, 2026, 1:55 a.m.