Triple

T26098923
Position Surface form Disambiguated ID Type / Status
Subject Badawiyya E658347 entity
Predicate mainShrineCountry P101006 FINISHED
Object Egypt NE NERFINISHED

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: Egypt | Statement: [Badawiyya, mainShrineCountry, Egypt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainShrineCountry
Context triple: [Badawiyya, mainShrineCountry, Egypt]
  • A. countryShrineOf chosen
    Indicates that a country is the location or host nation of a particular shrine.
  • B. countryOfVeneration
    Indicates the country in which a person, figure, or entity is formally or traditionally venerated or honored.
  • C. stateShrineOf
    Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
  • D. countryOfMainRitual
    Indicates the country in which a given ritual is primarily performed or holds its main significance.
  • E. shrineCity
    Indicates that a city is the location of, or is associated with, a particular shrine.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f621fcea1481909b6f8b3af1ee6820 completed May 2, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69f620debeb48190b7db395fb86cf8d9 completed May 2, 2026, 4:05 p.m.
Created at: April 26, 2026, 7:53 p.m.