Triple

T8773123
Position Surface form Disambiguated ID Type / Status
Subject Kalaripayattu E208512 entity
Predicate hasComponent P35 FINISHED
Object verumkai
Verumkai is the unarmed, hand-to-hand combat component of the traditional Indian martial art Kalaripayattu, emphasizing strikes, locks, and grappling techniques.
 E757663 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: verumkai | Statement: [Kalaripayattu, hasComponent, verumkai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: verumkai
Context triple: [Kalaripayattu, hasComponent, verumkai]
  • A. Varekai
    Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
  • B. VeRa
    VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
  • C. Verr
    Verr is an alternative form or variant of the name Fehr, typically used as a surname.
  • D. VERITAS
    VERITAS is a planned NASA Discovery-class mission designed to orbit Venus and map its surface and interior in high detail to better understand the planet’s geology and evolution.
  • E. VERITAS
    VERITAS is a ground-based array of imaging atmospheric Cherenkov telescopes in Arizona designed to detect very high-energy gamma rays from astrophysical sources.
  • 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: verumkai
Triple: [Kalaripayattu, hasComponent, verumkai]
Generated description
Verumkai is the unarmed, hand-to-hand combat component of the traditional Indian martial art Kalaripayattu, emphasizing strikes, locks, and grappling techniques.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: verumkai
Target entity description: Verumkai is the unarmed, hand-to-hand combat component of the traditional Indian martial art Kalaripayattu, emphasizing strikes, locks, and grappling techniques.
  • A. Varekai
    Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
  • B. VeRa
    VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
  • C. Verr
    Verr is an alternative form or variant of the name Fehr, typically used as a surname.
  • D. VERITAS
    VERITAS is a planned NASA Discovery-class mission designed to orbit Venus and map its surface and interior in high detail to better understand the planet’s geology and evolution.
  • E. VERITAS
    VERITAS is a ground-based array of imaging atmospheric Cherenkov telescopes in Arizona designed to detect very high-energy gamma rays from astrophysical sources.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2dc87c8190be0597a260d95a0b completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51c0125c819098deb7a54688b125 completed April 3, 2026, 5:36 a.m.
NEDg Description generation batch_69cf5378c3f48190a4180c20aecb2260 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf5471e9c08190963b7f1d6c2ceffe completed April 3, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:41 p.m.