Triple

T11494745
Position Surface form Disambiguated ID Type / Status
Subject Jabal al-Mukabber E272504 entity
Predicate hasNameInArabic P6450 FINISHED
Object جبل المكبر
جبل المكبر هو حي وتل بارز في جنوب شرق القدس يطل على البلدة القديمة ويُعد من المناطق العربية التاريخية في المدينة.
 E929090 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: جبل المكبر | Statement: [Jabal al-Mukabber, hasNameInArabic, جبل المكبر]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: جبل المكبر
Context triple: [Jabal al-Mukabber, hasNameInArabic, جبل المكبر]
  • A. جبل أحد
    جبل أحد هو جبل تاريخي يقع شمال المدينة المنورة في السعودية ويُعد من أبرز المعالم الإسلامية لارتباطه بغزوة أحد في عهد النبي محمد ﷺ.
  • B. The Mount
    The Mount is a prominent historic building and public landmark in Fleetwood, Lancashire, known for its elevated gardens and panoramic views over the seafront.
  • C. The Mount
    The Mount is the English name for Surah At-Tur, a chapter of the Qur’an that emphasizes God’s power, the reality of resurrection, and the fate of believers and disbelievers.
  • D. The Mount
    The Mount is the commonly used nickname for Mount St. Mary's University, a Catholic liberal arts institution located near Emmitsburg, Maryland.
  • E. Magas-hegy
    Magas-hegy is a prominent hill and popular hiking and skiing destination near Sátoraljaújhely in northeastern Hungary.
  • 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: جبل المكبر
Triple: [Jabal al-Mukabber, hasNameInArabic, جبل المكبر]
Generated description
جبل المكبر هو حي وتل بارز في جنوب شرق القدس يطل على البلدة القديمة ويُعد من المناطق العربية التاريخية في المدينة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: جبل المكبر
Target entity description: جبل المكبر هو حي وتل بارز في جنوب شرق القدس يطل على البلدة القديمة ويُعد من المناطق العربية التاريخية في المدينة.
  • A. جبل أحد
    جبل أحد هو جبل تاريخي يقع شمال المدينة المنورة في السعودية ويُعد من أبرز المعالم الإسلامية لارتباطه بغزوة أحد في عهد النبي محمد ﷺ.
  • B. The Mount
    The Mount is a prominent historic building and public landmark in Fleetwood, Lancashire, known for its elevated gardens and panoramic views over the seafront.
  • C. The Mount
    The Mount is the English name for Surah At-Tur, a chapter of the Qur’an that emphasizes God’s power, the reality of resurrection, and the fate of believers and disbelievers.
  • D. The Mount
    The Mount is the commonly used nickname for Mount St. Mary's University, a Catholic liberal arts institution located near Emmitsburg, Maryland.
  • E. Magas-hegy
    Magas-hegy is a prominent hill and popular hiking and skiing destination near Sátoraljaújhely in northeastern Hungary.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de183f08190abfa36eaabc61dc6 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6048a05c88190968f7827c5dd5342 completed April 20, 2026, 10:48 a.m.
NEDg Description generation batch_69e610a6de0c8190aabda7ef7b7063a6 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e61842b8848190b454cee480c69f7a completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.