Triple

T17937238
Position Surface form Disambiguated ID Type / Status
Subject Kamsa E448497 entity
Predicate associatedWith P37 FINISHED
Object Aghasura 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: Aghasura | Statement: [Kamsa, associatedWith, Aghasura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aghasura
Context triple: [Kamsa, associatedWith, Aghasura]
  • A. Baragon
    Baragon is a burrowing, horned kaiju from the Godzilla franchise, known for its subterranean attacks and appearances in classic Toho monster films.
  • B. Sraosha
    Sraosha is a key Zoroastrian divinity associated with obedience, religious devotion, and the protection of the righteous, often depicted as a guardian against evil forces.
  • C. Ghulkin
    Ghulkin is a small mountain village in northern Pakistan’s Hunza region, known for its traditional Wakhi culture and proximity to glaciers and high Karakoram peaks.
  • D. Asura chosen
    Asura is a class of powerful, often antagonistic supernatural beings in Indian religions, particularly Hinduism and Buddhism, frequently depicted as rivals of the gods (Devas).
  • E. Orosháza
    Orosháza is a town in southeastern Hungary known for its agricultural economy, thermal baths, and proximity to the Great Hungarian Plain.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad937f0881909d22ac8c2be9e35e completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.