Triple

T15350824
Position Surface form Disambiguated ID Type / Status
Subject Al-Masad E367045 entity
Predicate hasArabicName P6450 FINISHED
Object المسد
المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
 E1152425 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: المسد | Statement: [Al-Masad, hasArabicName, المسد]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: المسد
Context triple: [Al-Masad, hasArabicName, المسد]
  • A. Diriyah
    Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
  • B. Al-Uqair
    Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
  • C. Al-Tall city
    Al-Tall city is a Syrian urban center located just north of Damascus, known for its hillside setting and role as a local administrative and commercial hub.
  • D. Diwaniyah
    Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
  • E. Nasiriyah
    Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
  • 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: المسد
Triple: [Al-Masad, hasArabicName, المسد]
Generated description
المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: المسد
Target entity description: المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
  • A. Diriyah
    Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
  • B. Al-Uqair
    Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
  • C. Al-Tall city
    Al-Tall city is a Syrian urban center located just north of Damascus, known for its hillside setting and role as a local administrative and commercial hub.
  • D. Diwaniyah
    Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
  • E. Nasiriyah
    Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0bd62b308190b835ec76aba4b8cc completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c3e7b848190942cfa9d4b7bbd4c completed May 9, 2026, 10:28 a.m.
Created at: April 10, 2026, 3:17 a.m.