Triple

T6028068
Position Surface form Disambiguated ID Type / Status
Subject Dorothy and the Wizard in Oz E134228 entity
Predicate featuresLocation P7690 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: [Dorothy and the Wizard in Oz, featuresLocation, Emerald City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emerald City
Context triple: [Dorothy and the Wizard in Oz, featuresLocation, Emerald City]
  • A. Emerald City
    Emerald City is a popular nickname for Seattle, highlighting the city's lush greenery and evergreen landscapes.
  • B. 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."
  • C. Emerald City
    Emerald City is a dark, modern television reimagining of L. Frank Baum’s Oz stories, blending fantasy and political intrigue.
  • D. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • E. Golden City
    Golden City is a small rural town in Barton County, southwestern Missouri, known for its agricultural surroundings and tight-knit community.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560e3c2c8190aea2619386fc5538 completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1137d6a648190a91795fb679a891c completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.