Triple

T13230863
Position Surface form Disambiguated ID Type / Status
Subject Bolesławiec E315012 entity
Predicate hasTraditionalMotif P51314 FINISHED
Object peacock eye pattern 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: peacock eye pattern | Statement: [Bolesławiec, hasTraditionalMotif, peacock eye pattern]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalMotif
Context triple: [Bolesławiec, hasTraditionalMotif, peacock eye pattern]
  • A. traditionalMotif chosen
    Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
  • B. hasTraditionalSymbol
    Indicates that something is associated with or represented by a conventional or culturally established symbol.
  • C. hasTraditionalFormIn
    Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
  • D. hasTraditionalColors
    Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
  • E. hasIconographicTradition
    Indicates that an entity is associated with a recognized, recurring set of visual motifs or symbolic representations within a particular artistic or cultural tradition.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcb21648190aef241de1e7887e2 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:22 p.m.