Triple

T7904863
Position Surface form Disambiguated ID Type / Status
Subject Dolores E183545 entity
Predicate associatedWithPlace P2830 FINISHED
Object Toontown E710912 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: Toontown | Statement: [Dolores, associatedWithPlace, Toontown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toontown
Context triple: [Dolores, associatedWithPlace, Toontown]
  • A. Toontown chosen
    Toontown is the vibrant, cartoon-filled fictional city where animated characters live and interact with humans in the film "Who Framed Roger Rabbit."
  • B. Mickey's Toontown
    Mickey's Toontown is a whimsical, cartoon-themed land in Disney parks where guests can explore the colorful homes and neighborhoods of Mickey Mouse and his friends.
  • C. Discoveryland
    Discoveryland is a retro-futuristic themed land at Disneyland Paris inspired by the visionary works of Jules Verne and classic science fiction.
  • D. Storybook Land
    Storybook Land is a fairy tale–themed amusement park in Aberdeen, South Dakota, featuring storybook characters, themed rides, and attractions for young children and families.
  • E. Kidzopolis
    Kidzopolis is a family-friendly children’s area at Six Flags Fiesta Texas featuring kid-sized rides, games, and themed attractions.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a4331cc8190b50301c78767a850 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbdd1ad348190b0a01aa4a4f360d4 completed April 1, 2026, 6:40 a.m.
Created at: March 30, 2026, 5:03 p.m.