Triple

T4511953
Position Surface form Disambiguated ID Type / Status
Subject Indra E102073 entity
Predicate weapon P6948 FINISHED
Object Vajra E307062 NE FINISHED

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: Vajra | Statement: [Indra, weapon, Vajra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vajra
Context triple: [Indra, weapon, Vajra]
  • A. Vajranabha
    Vajranabha is a figure in Hindu tradition regarded as a descendant of Krishna and an early builder or restorer of important Krishna temples such as the Dwarkadhish Temple.
  • B. vajra chosen
    The vajra is a ritual implement in Indian and Tibetan traditions symbolizing indestructible power and spiritual enlightenment, often associated with thunderbolt and diamond imagery.
  • C. Vakratunda
    Vakratunda is a revered aspect of the Hindu deity Ganesha, depicted with a curved trunk and associated with the removal of obstacles and the subduing of evil forces.
  • D. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • E. Vaisesika
    Vaisesika is one of the six classical schools of Indian philosophy, known for its atomistic metaphysics and detailed categorization of reality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571412788190a374abd1e05519e4 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f875c4c81909e67d44b605816c2 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.