Triple

T19241837
Position Surface form Disambiguated ID Type / Status
Subject Alcaic stanza E481150 entity
Predicate metricalFootType P12848 FINISHED
Object combination of trochees and dactyls in classical usage 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: combination of trochees and dactyls in classical usage | Statement: [Alcaic stanza, metricalFootType, combination of trochees and dactyls in classical usage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metricalFootType
Context triple: [Alcaic stanza, metricalFootType, combination of trochees and dactyls in classical usage]
  • A. footType chosen
    Indicates the specific kind or classification of feet that an entity possesses or is characterized by.
  • B. typicalFootprintLength
    Indicates the usual or characteristic length of an entity’s footprint in a given context.
  • C. heelHeightApprox
    Indicates that one entity’s heel height is approximately equal to the other’s.
  • D. colorOfFoot
    Indicates the specific color attribute associated with a foot.
  • E. hasHeelType
    Indicates that an item (typically footwear) possesses a specific type or style of heel.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf2353c819094a9a1af3a858715 completed April 20, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e4dcfae6f081909cc173cf71a5005c completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:27 p.m.