Triple

T9582867
Position Surface form Disambiguated ID Type / Status
Subject Raja of Perlis E231214 entity
Predicate hasHonorific P2097 FINISHED
Object Tuanku
Tuanku is a Malay royal honorific style traditionally used for reigning monarchs and high-ranking nobility in Malaysia.
 E808712 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: Tuanku | Statement: [Raja of Perlis, hasHonorific, Tuanku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuanku
Context triple: [Raja of Perlis, hasHonorific, Tuanku]
  • A. Tuan Besar
    Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
  • B. Tribhuwana
    Tribhuwana is the regnal name of a 14th-century Javanese queen of the Majapahit Empire, formally known as Tribhuwana Wijayatunggadewi.
  • C. Tunku
    Tunku is a Malay royal honorific title traditionally used by members of certain royal families in Malaysia.
  • D. Prabu
    Prabu is a royal title historically used for kings or rulers in the Sundanese Kingdom of West Java, Indonesia.
  • E. Indera Putera
    Indera Putera is a legendary prince-hero from Malay literary tradition, known for his adventures and appearances in classical hikayat (epic tales).
  • 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: Tuanku
Triple: [Raja of Perlis, hasHonorific, Tuanku]
Generated description
Tuanku is a Malay royal honorific style traditionally used for reigning monarchs and high-ranking nobility in Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuanku
Target entity description: Tuanku is a Malay royal honorific style traditionally used for reigning monarchs and high-ranking nobility in Malaysia.
  • A. Tuan Besar
    Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
  • B. Tribhuwana
    Tribhuwana is the regnal name of a 14th-century Javanese queen of the Majapahit Empire, formally known as Tribhuwana Wijayatunggadewi.
  • C. Tunku
    Tunku is a Malay royal honorific title traditionally used by members of certain royal families in Malaysia.
  • D. Prabu
    Prabu is a royal title historically used for kings or rulers in the Sundanese Kingdom of West Java, Indonesia.
  • E. Indera Putera
    Indera Putera is a legendary prince-hero from Malay literary tradition, known for his adventures and appearances in classical hikayat (epic tales).
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cebaf081908033536a53fbf668 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1616a11688190ba47343e4fd913fd completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d16360b7708190bc23294f267ac695 completed April 4, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d163e654388190ba9b617e6fac18ad completed April 4, 2026, 7:17 p.m.
Created at: March 30, 2026, 8:05 p.m.