Triple

T24719662
Position Surface form Disambiguated ID Type / Status
Subject Ophir (biblical region) E612260 entity
Predicate goldUsedAsMetaphorFor P15665 FINISHED
Object purity 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: purity | Statement: [Ophir (biblical region), goldUsedAsMetaphorFor, purity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goldUsedAsMetaphorFor
Context triple: [Ophir (biblical region), goldUsedAsMetaphorFor, purity]
  • A. keyMetaphor
    Indicates that one entity functions as a central or primary metaphor used to conceptualize, explain, or structure understanding of another entity.
  • B. primaryMetaphor chosen
    Indicates a fundamental conceptual mapping where one domain (often concrete or physical) is systematically understood in terms of another (often abstract), forming a basic metaphorical relationship between them.
  • C. titleMetaphor
    Indicates that the title of a work functions metaphorically, expressing a figurative or symbolic meaning rather than a literal one.
  • D. associatedMetal
    Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
  • E. visualMetaphor
    Indicates a relationship where one entity conceptually represents or explains another through a visual analogy or symbolic imagery.
  • 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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f410fe3b848190ae296a29f742ee30 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ee8ada8819089a7016b50308ff0 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 3:40 a.m.