Triple

T10157162
Position Surface form Disambiguated ID Type / Status
Subject جبل أحد E233802 entity
Predicate visitedBy P1096 FINISHED
Object الحجاج
الحجاج هو لقب يطلق على المسلمين الذين أدّوا فريضة الحج إلى بيت الله الحرام في مكة المكرمة.
 E713935 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: الحجاج | Statement: [جبل أحد, visitedBy, الحجاج]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: الحجاج
Context triple: [جبل أحد, visitedBy, الحجاج]
  • A. Haji
    Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • B. Al-Haj
    Al-Haj is an honorific Islamic title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • C. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • E. Hajj in Kismet
    Hajj in *Kismet* is the charismatic, roguish poet and beggar protagonist of the musical, whose adventures drive the story’s blend of romance, comedy, and fantasy.
  • 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: الحجاج
Triple: [جبل أحد, visitedBy, الحجاج]
Generated description
الحجاج هو لقب يطلق على المسلمين الذين أدّوا فريضة الحج إلى بيت الله الحرام في مكة المكرمة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: الحجاج
Target entity description: الحجاج هو لقب يطلق على المسلمين الذين أدّوا فريضة الحج إلى بيت الله الحرام في مكة المكرمة.
  • A. Haji
    Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • B. Al-Haj chosen
    Al-Haj is an honorific Islamic title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • C. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • E. Hajj in Kismet
    Hajj in *Kismet* is the charismatic, roguish poet and beggar protagonist of the musical, whose adventures drive the story’s blend of romance, comedy, and fantasy.
  • F. None of above.

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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3c47dc81909679903e6024eb49 completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300acae608190891d8f55c3d5102b completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d302537a548190b211727dd124cba6 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d3033245448190bcc802b7dbd274fc completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:09 p.m.