Triple

T19596444
Position Surface form Disambiguated ID Type / Status
Subject World Turtle E470360 entity
Predicate hasNotableVariant P455 FINISHED
Object Chukwa
Chukwa is a giant turtle from Hindu mythology that supports the world, often depicted carrying the Earth on its back.
 E1385370 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: Chukwa | Statement: [World Turtle, hasNotableVariant, Chukwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chukwa
Context triple: [World Turtle, hasNotableVariant, Chukwa]
  • A. Toesca
    Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
  • B. CDH
    CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
  • C. CDH
    CDH is a centrist Christian democratic political party in Belgium, primarily active in the French-speaking region.
  • D. Kinetica
    Kinetica is a proprietary game engine developed by Sony Computer Entertainment, known for powering several early PlayStation 2 titles.
  • E. Hudi
    Hudi is an open-source data lake storage framework that enables efficient upserts, deletes, and incremental processing on large analytical datasets, commonly used on platforms like Hadoop and cloud object stores.
  • 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: Chukwa
Triple: [World Turtle, hasNotableVariant, Chukwa]
Generated description
Chukwa is a giant turtle from Hindu mythology that supports the world, often depicted carrying the Earth on its back.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chukwa
Target entity description: Chukwa is a giant turtle from Hindu mythology that supports the world, often depicted carrying the Earth on its back.
  • A. Toesca
    Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
  • B. CDH
    CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
  • C. CDH
    CDH is a centrist Christian democratic political party in Belgium, primarily active in the French-speaking region.
  • D. Kinetica
    Kinetica is a proprietary game engine developed by Sony Computer Entertainment, known for powering several early PlayStation 2 titles.
  • E. Hudi
    Hudi is an open-source data lake storage framework that enables efficient upserts, deletes, and incremental processing on large analytical datasets, commonly used on platforms like Hadoop and cloud object stores.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407b997881909762c8f919c9cdad completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1926b88190870d13afa412b444 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a076110cebc8190b3d7be3e858c92bf completed May 15, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_6a07616ce66881909846d54ca6e2ca99 completed May 15, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:43 p.m.