Triple

T3203449
Position Surface form Disambiguated ID Type / Status
Subject Alliterative Revival E67103 entity
Predicate metricalFeature P46136 FINISHED
Object strong stress meter 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: strong stress meter | Statement: [Alliterative Revival, metricalFeature, strong stress meter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metricalFeature
Context triple: [Alliterative Revival, metricalFeature, strong stress meter]
  • A. localSymmetry
    Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
  • B. crestFeature
    Indicates that an entity possesses a notable crest-related characteristic or structural feature.
  • C. withinFeature
    Indicates that one entity is spatially contained inside or lies entirely within the bounds of another feature.
  • D. skeletonFeature
    Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
  • E. deformationFeatures
    Indicates the presence or characteristics of structural changes or distortions (such as folds, faults, or warps) affecting an object or material.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b188a88190b7b5e9b3be9410db completed March 8, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69ad9e078f7c8190813d9fcb4f5071fb completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f9259c8190afbc5ad0fa55436b completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:07 p.m.