Triple

T7243263
Position Surface form Disambiguated ID Type / Status
Subject Circles E156408 entity
Predicate mainMetaphor P31346 FINISHED
Object concentric circles 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: concentric circles | Statement: [Circles, mainMetaphor, concentric circles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainMetaphor
Context triple: [Circles, mainMetaphor, concentric circles]
  • A. primaryMetaphor
    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.
  • B. keyMetaphor chosen
    Indicates that one entity functions as a central or primary metaphor used to conceptualize, explain, or structure understanding of another entity.
  • C. titleMetaphor
    Indicates that the title of a work functions metaphorically, expressing a figurative or symbolic meaning rather than a literal one.
  • D. mainPhrase
    Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
  • E. logicalMeaning
    Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea56756c8190996c2390902f166a completed March 27, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69c6e7644648819096a5e2de5d0dbe97 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:55 p.m.