Triple

T11844780
Position Surface form Disambiguated ID Type / Status
Subject The Carriage Driver (The Wizard of Oz) E281746 entity
Predicate residence P75 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: [The Carriage Driver (The Wizard of Oz), residence, Emerald City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emerald City
Context triple: [The Carriage Driver (The Wizard of Oz), residence, 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. Star City
    Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1679729c08190a9f6750586f90d8d completed April 29, 2026, 2:06 a.m.
Created at: April 8, 2026, 9:43 p.m.