Triple

T2643785
Position Surface form Disambiguated ID Type / Status
Subject Jaq E62937 entity
Predicate home P75 FINISHED
Object Cinderella’s chateau E285197 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: Cinderella’s chateau | Statement: [Jaq, home, Cinderella’s chateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinderella’s chateau
Context triple: [Jaq, home, Cinderella’s chateau]
  • A. Cinderella’s chateau chosen
    Cinderella’s chateau is the grand but oppressive family estate where Cinderella lives under the control of her cruel stepmother, Lady Tremaine.
  • B. Sleeping Beauty Castle
    Sleeping Beauty Castle is the iconic fairy-tale centerpiece of Disneyland, serving as a symbol of the park and a gateway to Fantasyland.
  • C. Cinderella Castle
    Cinderella Castle is the iconic fairytale-style centerpiece of Magic Kingdom at Walt Disney World, serving as a visual landmark and symbol of the park.
  • D. Enchanted Storybook Castle
    Enchanted Storybook Castle is the grand central icon of Shanghai Disneyland, notable as Disney’s largest and most elaborate castle, celebrating multiple Disney princesses in one structure.
  • E. Marly Palace
    Marly Palace is a smaller, elegant Baroque pavilion within the Peterhof palace complex near St. Petersburg, known for its intimate scale and picturesque setting by the ponds and gardens.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd90046dc81908bab3440733f1e98 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa050cc408190b2fa81a0f2da06eb completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.