Triple

T15679304
Position Surface form Disambiguated ID Type / Status
Subject Muhammad ibn Ya‘qub al-Kulayni E377528 entity
Predicate birthPlace P1 FINISHED
Object Kulayni
Kulayni is a village in Iran historically known as the birthplace of the prominent Shia hadith scholar Muhammad ibn Ya‘qub al-Kulayni.
 E1171405 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: Kulayni | Statement: [Muhammad ibn Ya‘qub al-Kulayni, birthPlace, Kulayni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kulayni
Context triple: [Muhammad ibn Ya‘qub al-Kulayni, birthPlace, Kulayni]
  • A. Panrang
    Panrang is an alternative name for Panduranga, a historical Cham kingdom and region located in what is now south-central Vietnam.
  • B. Aokaparangi
    Aokaparangi is a mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine terrain and expansive views.
  • C. Nivala
    Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
  • D. Loha
    Loha is a town and former Maharashtra Legislative Assembly constituency in the Nanded district of the Indian state of Maharashtra.
  • E. Loha
    Loha is a 1987 Indian Hindi-language action film featuring Persis Khambatta in a prominent role.
  • 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: Kulayni
Triple: [Muhammad ibn Ya‘qub al-Kulayni, birthPlace, Kulayni]
Generated description
Kulayni is a village in Iran historically known as the birthplace of the prominent Shia hadith scholar Muhammad ibn Ya‘qub al-Kulayni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kulayni
Target entity description: Kulayni is a village in Iran historically known as the birthplace of the prominent Shia hadith scholar Muhammad ibn Ya‘qub al-Kulayni.
  • A. Panrang
    Panrang is an alternative name for Panduranga, a historical Cham kingdom and region located in what is now south-central Vietnam.
  • B. Aokaparangi
    Aokaparangi is a mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine terrain and expansive views.
  • C. Nivala
    Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
  • D. Loha
    Loha is a town and former Maharashtra Legislative Assembly constituency in the Nanded district of the Indian state of Maharashtra.
  • E. Loha
    Loha is a 1987 Indian Hindi-language action film featuring Persis Khambatta in a prominent role.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee2a33c81908fcd120ca670b309 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.