Triple

T1133134
Position Surface form Disambiguated ID Type / Status
Subject Temple of Kalabsha E23076 entity
Predicate hasReliefsDepicting P11199 FINISHED
Object Roman emperors making offerings to Egyptian gods 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: Roman emperors making offerings to Egyptian gods | Statement: [Temple of Kalabsha, hasReliefsDepicting, Roman emperors making offerings to Egyptian gods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReliefsDepicting
Context triple: [Temple of Kalabsha, hasReliefsDepicting, Roman emperors making offerings to Egyptian gods]
  • A. hasReliefFeature
    Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
  • B. hasRelief
    Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
  • C. hasReliefOf chosen
    Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
  • D. hasAllegoricalFigures
    Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
  • E. hasIllustrationsBy
    Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb48de2081909a0dce005b1c9df1 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.