Triple

T8654454
Position Surface form Disambiguated ID Type / Status
Subject Alexander Nevsky Cathedral E205379 entity
Predicate oneOfTheLargest P30645 FINISHED
Object Eastern Orthodox cathedrals in the world 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: Eastern Orthodox cathedrals in the world | Statement: [Alexander Nevsky Cathedral, oneOfTheLargest, Eastern Orthodox cathedrals in the world]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfTheLargest
Context triple: [Alexander Nevsky Cathedral, oneOfTheLargest, Eastern Orthodox cathedrals in the world]
  • A. oneOfLargest chosen
    Indicates that the subject is among the largest members within a specified group or set, but not necessarily the single largest.
  • B. largestInCountry
    Indicates that an entity is the largest of its kind within the specified country.
  • C. hasLargestPopulationOn
    Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
  • D. hasLargestAreaOf
    Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
  • E. hasLargestContinuousLandAreaOn
    Indicates that an entity possesses the greatest uninterrupted expanse of land on a specified geographic region or surface compared to all other entities.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48432568819093b9a867b4f62b78 completed March 31, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69cc45619460819091e83ffdec99c865 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:29 p.m.