Triple

T37867698
Position Surface form Disambiguated ID Type / Status
Subject Coat of arms of Aargau E944519 entity
Predicate field2Tincture P23234 FINISHED
Object sable 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: sable | Statement: [Coat of arms of Aargau, field2Tincture, sable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: field2Tincture
Context triple: [Coat of arms of Aargau, field2Tincture, sable]
  • A. fieldTincture chosen
    Indicates the heraldic tincture (color, metal, or fur) applied to the main background field of a coat of arms.
  • B. tinctureOfField
    Indicates that one entity is a tincture (medicinal extract or solution) derived from, based on, or primarily composed of another entity representing a field or source material.
  • C. tinctureOfKey
    Indicates that one entity is a tincture (medicinal or alcoholic extract) derived from, containing, or primarily based on another entity designated as the key ingredient.
  • D. featuresTincture
    Indicates that something displays or bears a particular tincture (heraldic color, metal, or pattern) as one of its visual characteristics.
  • E. usesTincture
    Indicates that one entity employs or applies a tincture in relation to another entity or context.
  • 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_69f76eef55d481908ca6660b4b532550 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.