Triple

T16165469
Position Surface form Disambiguated ID Type / Status
Subject Sibghatullah Mojaddedi E392291 entity
Predicate familyName P18 FINISHED
Object Mojaddedi
Mojaddedi is an Afghan family name most prominently associated with Sibghatullah Mojaddedi, a key political and religious figure in Afghanistan’s modern history.
 E1197418 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: Mojaddedi | Statement: [Sibghatullah Mojaddedi, familyName, Mojaddedi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mojaddedi
Context triple: [Sibghatullah Mojaddedi, familyName, Mojaddedi]
  • A. Mezallat
    Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
  • B. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • C. Mashíyyat
    Mashíyyat is the first month of the Badíʻ (Baháʼí) calendar, associated with the concept of the Divine Will.
  • D. Mawlaik
    Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
  • E. Muladis
    Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
  • 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: Mojaddedi
Triple: [Sibghatullah Mojaddedi, familyName, Mojaddedi]
Generated description
Mojaddedi is an Afghan family name most prominently associated with Sibghatullah Mojaddedi, a key political and religious figure in Afghanistan’s modern history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mojaddedi
Target entity description: Mojaddedi is an Afghan family name most prominently associated with Sibghatullah Mojaddedi, a key political and religious figure in Afghanistan’s modern history.
  • A. Mezallat
    Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
  • B. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • C. Mashíyyat
    Mashíyyat is the first month of the Badíʻ (Baháʼí) calendar, associated with the concept of the Divine Will.
  • D. Mawlaik
    Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
  • E. Muladis
    Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb2a25c819095437b25e6ab83f3 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b96bf08190b23bd3b705a34c61 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff87caefc8190836d690dfb2523f9 completed May 10, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_69fff98b3d7c8190bb284321d17f58e2 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:02 a.m.