Triple

T30107751
Position Surface form Disambiguated ID Type / Status
Subject Poem 85 (Odi et amo) E765176 entity
Predicate originalMeterFirstLine P201706 FINISHED
Object hexameter 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: hexameter | Statement: [Poem 85 (Odi et amo), originalMeterFirstLine, hexameter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalMeterFirstLine
Context triple: [Poem 85 (Odi et amo), originalMeterFirstLine, hexameter]
  • A. finalLineMeter
    Indicates that the metrical pattern or structure of the final line of a text, verse, or utterance is being specified or characterized.
  • B. firstModelLineOf
    Indicates that one entity is the first line of a model or modeling construct associated with another entity.
  • C. firstMeasuredBy
    Indicates that a measurement or value was obtained for the first time through a specified measuring process, instrument, or agent.
  • D. firstLines
    Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
  • E. originalLine
    Indicates that one entity is the initial or source version of a line from which other versions or derivatives may originate.
  • 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_69f22475ad7c8190be7f9541044a0bbb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a0017dd31d08190aa5e9f72df83733a completed May 10, 2026, 5:30 a.m.
PD Predicate disambiguation batch_6a0015a1deb88190b9cdaa60455b0a33 completed May 10, 2026, 5:20 a.m.
PDg Predicate description generation batch_6a0017dc2cd48190a89c3e9c71708519 completed May 10, 2026, 5:30 a.m.
Created at: April 29, 2026, 7:09 p.m.