Triple

T32190666
Position Surface form Disambiguated ID Type / Status
Subject Mission to Moscow E822229 entity
Predicate hasPersisKhambattaInCast P193784 FINISHED
Object false LITERAL 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: false | Statement: [Mission to Moscow, hasPersisKhambattaInCast, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPersisKhambattaInCast
Context triple: [Mission to Moscow, hasPersisKhambattaInCast, false]
  • A. hasHumanCast
    Indicates that a work or production features human performers as part of its cast.
  • B. hasTheka
    Indicates a relationship where one entity possesses, is equipped with, or features a theka (a specific rhythmic pattern or accompaniment).
  • C. hasChhatri
    Indicates that one entity possesses or features a chhatri (a dome-shaped pavilion or canopy structure) in relation to another entity or location.
  • D. hasDhaivatam
    Indicates that one musical entity possesses or includes the note "Dhaivatam" within its structure or scale.
  • E. hasRatha
    Indicates that one entity possesses, includes, or is associated with a chariot (ratha) as part of its attributes or composition.
  • F. None of above. chosen

Provenance (4 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
PDg Predicate description generation batch_69fd553c01488190b9fda48b4a728f04 completed May 8, 2026, 3:15 a.m.
Created at: May 1, 2026, 12:35 a.m.