Triple

T3908175
Position Surface form Disambiguated ID Type / Status
Subject Jerusalem cross E87254 entity
Predicate colorTradition P31069 FINISHED
Object gold cross on silver or white field 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: gold cross on silver or white field | Statement: [Jerusalem cross, colorTradition, gold cross on silver or white field]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colorTradition
Context triple: [Jerusalem cross, colorTradition, gold cross on silver or white field]
  • A. hasTraditionalColors chosen
    Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
  • B. variantTraditions
    Indicates that there exist differing or alternative traditions or customary practices associated with the same subject or context.
  • C. culturalTradition
    Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
  • D. colors
    Indicates that one entity assigns, describes, or provides the color or colors of another entity.
  • E. traditionCharacteristic
    Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75cff148190b6d5979d17fae085 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.