Triple

T15008331
Position Surface form Disambiguated ID Type / Status
Subject Dani E377765 entity
Predicate hasFictionalUniverse P3758 FINISHED
Object Emerald City universe E377758 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 universe | Statement: [Dani, hasFictionalUniverse, Emerald City universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emerald City universe
Context triple: [Dani, hasFictionalUniverse, Emerald City universe]
  • A. Emerald City
    Emerald City is a popular nickname for Seattle, highlighting the city's lush greenery and evergreen landscapes.
  • B. Emerald City
    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 chosen
    Emerald City is a dark, modern television reimagining of L. Frank Baum’s Oz stories, blending fantasy and political intrigue.
  • D. Thousand Worlds universe
    The Thousand Worlds universe is a shared science fiction setting created by George R. R. Martin, encompassing numerous loosely connected stories and novels set across a far-future human galactic civilization.
  • E. The District universe
    The District universe is the fictional setting in which the events and characters associated with Temple Page’s work take place.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.