Triple

T5141125
Position Surface form Disambiguated ID Type / Status
Subject Emerald City E115953 entity
Predicate governedBy P46 FINISHED
Object Princess Ozma E31704 NE 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: Princess Ozma | Statement: [Emerald City, governedBy, Princess Ozma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Ozma
Context triple: [Emerald City, governedBy, Princess Ozma]
  • A. Princess Ozma chosen
    Princess Ozma is a fictional royal character from L. Frank Baum’s Oz book series, serving as the rightful ruler of the Land of Oz.
  • B. Glinda the Good Witch
    Glinda the Good Witch is a benevolent and powerful sorceress from L. Frank Baum’s Oz universe, best known for guiding Dorothy on her journey home.
  • C. The Blue Fairy
    The Blue Fairy is a magical, benevolent figure in the Pinocchio story who guides and protects the wooden puppet on his journey to becoming a real boy.
  • D. Dorothy
    Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
  • E. Ozma of Oz
    Ozma of Oz is the third book in L. Frank Baum’s Oz series, introducing Princess Ozma as a central character and following Dorothy’s adventures in the magical Land of Oz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787e5fe88190834042a73d4d9619 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed91e4ab88190827a77b0a356b7c3 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:43 p.m.