Triple

T9477324
Position Surface form Disambiguated ID Type / Status
Subject Rogueport region E228547 entity
Predicate locatedIn P40 FINISHED
Object Mushroom World E311703 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: Mushroom World | Statement: [Rogueport region, locatedIn, Mushroom World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mushroom World
Context triple: [Rogueport region, locatedIn, Mushroom World]
  • A. Mushroom World chosen
    Mushroom World is the larger, multi-kingdom universe in the Super Mario series that encompasses various themed lands where Mario’s adventures take place.
  • B. Mushroom City
    Mushroom City is an urban-themed race course in the Mario Kart series, featuring nighttime streets, traffic, and multiple branching routes.
  • C. Myko
    Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
  • D. Mushroom
    The Mushroom in Mario Kart Wii is a power-up item that gives racers a brief speed boost when used.
  • E. Mushroom Capital of the World
    Mushroom Capital of the World is a nickname for Kennett Square, Pennsylvania, reflecting its status as a leading center of mushroom cultivation and production.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd801386948190890133f622ff360b completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ceb52088190a03963a762c7d30d completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:54 p.m.