Triple

T19811993
Position Surface form Disambiguated ID Type / Status
Subject Kurma E475969 entity
Predicate alternateName P39 FINISHED
Object Kūrma NE NERFINISHED

How this triple was built (2 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: Kūrma | Statement: [Kurma, alternateName, Kūrma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kūrma
Context triple: [Kurma, alternateName, Kūrma]
  • A. Loghoma
    Loghoma is an alternative name for the Loma people, an ethnic group primarily found in Liberia and neighboring West African regions.
  • B. Kanchipuri
    Kanchipuri is another name for Kanchipuram, an ancient South Indian city renowned for its historic temples and silk saree weaving tradition.
  • C. Chakola
    Chakola is a small rural locality in New South Wales, Australia, situated in the Monaro region.
  • D. Kurma chosen
    Kurma is the turtle incarnation of the Hindu god Vishnu, known for supporting Mount Mandara during the churning of the cosmic ocean.
  • E. Manju
    Manju was a Japanese era name (nengō) used during the reign of Emperor Go-Ichijō in the early 11th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542c9c5c81908772e88caa067e63 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.