Triple

T7246120
Position Surface form Disambiguated ID Type / Status
Subject Scots Wha Hae E156473 entity
Predicate hasRhetoricalForm P6480 FINISHED
Object speech before battle 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: speech before battle | Statement: [Scots Wha Hae, hasRhetoricalForm, speech before battle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRhetoricalForm
Context triple: [Scots Wha Hae, hasRhetoricalForm, speech before battle]
  • A. rhetoricalStyle
    Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
  • B. containsRhetoricalQuestions
    Indicates that the text includes questions posed for effect or persuasion rather than to elicit actual answers.
  • C. hasLiteraryForm chosen
    Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
  • D. rhetoricalDevice
    Indicates that one entity is used as a rhetorical device in relation to another, such as a figure of speech, stylistic technique, or persuasive strategy within a discourse.
  • E. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea5a8bbc8190bf16747dbdd65ce8 completed March 27, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69c6e7666ffc81908bf643d8257e6337 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:56 p.m.