Triple

T9220587
Position Surface form Disambiguated ID Type / Status
Subject كسوة الكعبة E221348 entity
Predicate تاريخياً كانت تصنع في P87658 FINISHED
Object الشام
الشام هو إقليم تاريخي في المشرق العربي يشمل أجزاء من سوريا ولبنان والأردن وفلسطين، وكان مركزاً حضارياً وتجارياً مهماً عبر العصور الإسلامية.
 E784861 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: الشام | Statement: [كسوة الكعبة, تاريخياً كانت تصنع في, الشام]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: الشام
Context triple: [كسوة الكعبة, تاريخياً كانت تصنع في, الشام]
  • A. Latakia
    Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
  • B. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • C. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • D. State of Damascus
    The State of Damascus was a French-controlled political entity in the early 20th century that encompassed Damascus and its surrounding region during the partition of post-Ottoman Syria.
  • E. Sulaymaniyah
    Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
  • 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: الشام
Triple: [كسوة الكعبة, تاريخياً كانت تصنع في, الشام]
Generated description
الشام هو إقليم تاريخي في المشرق العربي يشمل أجزاء من سوريا ولبنان والأردن وفلسطين، وكان مركزاً حضارياً وتجارياً مهماً عبر العصور الإسلامية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: الشام
Target entity description: الشام هو إقليم تاريخي في المشرق العربي يشمل أجزاء من سوريا ولبنان والأردن وفلسطين، وكان مركزاً حضارياً وتجارياً مهماً عبر العصور الإسلامية.
  • A. Latakia
    Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
  • B. Balad
    Balad is a town in Somalia’s Banaadir region, located north of the capital Mogadishu and known as an agricultural and trading center along the Shabelle River.
  • C. Balad
    Balad is a city in Iraq’s Salah ad Din Governorate, known for its strategic location north of Baghdad and its nearby military air base.
  • D. State of Damascus
    The State of Damascus was a French-controlled political entity in the early 20th century that encompassed Damascus and its surrounding region during the partition of post-Ottoman Syria.
  • E. Sulaymaniyah
    Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda75b6888190814cfb890e763b8f completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662c28648190979cf786fc35ab75 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d06771ba808190a7b10f664425e76e completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d068087ab881908edcfd384a2e3f07 completed April 4, 2026, 1:23 a.m.
Created at: March 30, 2026, 7:28 p.m.