Triple

T2172345
Position Surface form Disambiguated ID Type / Status
Subject Glinda the Good Witch E48453 entity
Predicate associatedWith P37 FINISHED
Object Emerald City E115953 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: Emerald City | Statement: [Glinda the Good Witch, associatedWith, Emerald City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emerald City
Context triple: [Glinda the Good Witch, associatedWith, Emerald City]
  • A. Emerald City chosen
    Emerald City is the dazzling, green-hued capital of the Land of Oz and the central destination in L. Frank Baum’s classic tale "The Wonderful Wizard of Oz."
  • B. Emerald City
    Emerald City is a popular nickname for Seattle, highlighting the city's lush greenery and evergreen landscapes.
  • C. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • D. Golden City
    Golden City is a small rural town in Barton County, southwestern Missouri, known for its agricultural surroundings and tight-knit community.
  • E. Golden City
    Golden City is the popular nickname for Jaisalmer, a historic sandstone city in the Thar Desert of Rajasthan, India, famed for its golden-hued fort and architecture.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbec98a648190907ef4c6cad916d3 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f6c8c8819081a06861f6133fe9 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.