Triple

T10648173
Position Surface form Disambiguated ID Type / Status
Subject Princess Jasmine E250890 entity
Predicate basedIn P40 FINISHED
Object Agrabah E347350 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: Agrabah | Statement: [Princess Jasmine, basedIn, Agrabah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrabah
Context triple: [Princess Jasmine, basedIn, Agrabah]
  • A. Agrabah chosen
    Agrabah is the fictional Middle Eastern-inspired desert kingdom that serves as the primary setting of Disney's animated film "Aladdin."
  • B. Agrabah Marketplace
    Agrabah Marketplace is a themed shopping area in Tokyo DisneySea’s Arabian Coast port, designed to evoke the bustling bazaar from Disney’s Aladdin.
  • C. Bahjí
    Bahjí is a historic estate near Acre in present-day Israel that serves as the most sacred site in the Baháʼí Faith, housing the Shrine of Baháʼu'lláh.
  • D. Riyadh Al Khabra
    Riyadh Al Khabra is a town in central Saudi Arabia known for its agricultural activity and traditional markets within the Qassim Region.
  • E. Sultaniyya
    Sultaniyya was a prominent medieval city in northwestern Iran that served as the political and cultural center of the Mongol Ilkhanid dynasty.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:05 p.m.