Triple

T25282784
Position Surface form Disambiguated ID Type / Status
Subject Kurinji (mountain landscape in Sangam tradition) E633861 entity
Predicate poeticFunction P156976 FINISHED
Object maps landscape to inner emotion 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: maps landscape to inner emotion | Statement: [Kurinji (mountain landscape in Sangam tradition), poeticFunction, maps landscape to inner emotion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: poeticFunction
Context triple: [Kurinji (mountain landscape in Sangam tradition), poeticFunction, maps landscape to inner emotion]
  • A. poetryFunction chosen
    Indicates that one entity serves a particular role, purpose, or function within the domain of poetry for another entity.
  • B. poeticStyle
    Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
  • C. poem
    Indicates that one entity is a poem created, authored, or associated with another entity.
  • D. poeticCategory
    Indicates that one entity is classified as belonging to a particular poetic category or type of poetry in relation to another entity.
  • E. usesPoeticProgram
    Indicates that one entity employs or applies a poetic program—such as a structured, rule-based, or stylistically poetic system—in relation to another entity or 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_69e75a9402fc81909362ca85277c06d9 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48e0560648190bb88db7255867d7f completed May 1, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69f45d06d0388190b36ecde92013624a completed May 1, 2026, 7:57 a.m.
Created at: April 21, 2026, 1:19 p.m.