Triple

T7077447
Position Surface form Disambiguated ID Type / Status
Subject Sunflower State E164854 entity
Predicate hasSymbolRelation P33476 FINISHED
Object state flower of Kansas is the sunflower 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: state flower of Kansas is the sunflower | Statement: [Sunflower State, hasSymbolRelation, state flower of Kansas is the sunflower]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSymbolRelation
Context triple: [Sunflower State, hasSymbolRelation, state flower of Kansas is the sunflower]
  • A. isRelatedSymbol
    Indicates that one symbol has a defined relationship or association with another symbol, such as similarity, correspondence, or functional connection.
  • B. hasSymbolicRelationshipType
    Indicates that there exists a symbolic (non-literal) relationship of a specified type between two entities.
  • C. hasRelation chosen
    Indicates that there exists some specified relationship or association between two entities.
  • D. symbolicallyUses
    Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
  • E. hasSymbolNamedAfter
    Indicates that one entity has a symbol whose name is derived from or dedicated to another entity.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ee29288190a9a3fa7a6c713d8f completed March 27, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69c6e1bfcb948190a5ada74fb8c054cb completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:40 p.m.