Triple

T7258101
Position Surface form Disambiguated ID Type / Status
Subject Surabi E157773 entity
Predicate hasAlternativeName P39 FINISHED
Object Serabi
Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
 E652862 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: Serabi | Statement: [Surabi, hasAlternativeName, Serabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serabi
Context triple: [Surabi, hasAlternativeName, Serabi]
  • A. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • B. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • C. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • D. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • E. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • 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: Serabi
Triple: [Surabi, hasAlternativeName, Serabi]
Generated description
Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serabi
Target entity description: Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
  • A. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • B. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • C. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • D. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • E. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa3d88081908f59ca5a85790290 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db175b188190beb5ba5ebb662c9b completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dc05a1d0819088a7b3fd30978776 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:57 p.m.