Triple

T4069179
Position Surface form Disambiguated ID Type / Status
Subject Slava Ukrayini E86601 entity
Predicate responseMeaning P8493 FINISHED
Object Glory to the heroes 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: Glory to the heroes | Statement: [Slava Ukrayini, responseMeaning, Glory to the heroes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: responseMeaning
Context triple: [Slava Ukrayini, responseMeaning, Glory to the heroes]
  • A. stringMeaning
    Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
  • B. letterMeaning
    Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
  • C. commonMeaning
    Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
  • D. meaningOfPhrase chosen
    Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
  • E. possibleMeaning
    Indicates that something may plausibly represent, signify, or be interpreted as a particular meaning or sense.
  • F. None of above.

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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbfa45c88190b7b13b35de816378 completed March 9, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69aef9061d2481908307cafc9e9b32c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:38 p.m.