Triple

T3313608
Position Surface form Disambiguated ID Type / Status
Subject Aladdin (1992 film) E69628 entity
Predicate setIn P1393 FINISHED
Object Agrabah
Agrabah is the fictional Middle Eastern-inspired desert kingdom that serves as the primary setting of Disney's animated film "Aladdin."
 E347350 NE FINISHED

How this triple was built (4 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: [Aladdin (1992 film), setIn, Agrabah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agrabah
Context triple: [Aladdin (1992 film), setIn, Agrabah]
  • A. Sultaniyya
    Sultaniyya was a prominent medieval city in northwestern Iran that served as the political and cultural center of the Mongol Ilkhanid dynasty.
  • B. Ciudad de los Reyes
    Ciudad de los Reyes is the historical name of Lima, the capital and largest city of Peru, founded by the Spanish in the 16th century.
  • C. Qala
    Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
  • D. Madina
    Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
  • E. Akhnur
    Akhnur is a town in the Jammu district of the Indian union territory of Jammu and Kashmir, known for its strategic location near the India–Pakistan border and its historical and archaeological significance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Agrabah
Triple: [Aladdin (1992 film), setIn, Agrabah]
Generated description
Agrabah is the fictional Middle Eastern-inspired desert kingdom that serves as the primary setting of Disney's animated film "Aladdin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agrabah
Target entity description: Agrabah is the fictional Middle Eastern-inspired desert kingdom that serves as the primary setting of Disney's animated film "Aladdin."
  • A. Sultaniyya
    Sultaniyya was a prominent medieval city in northwestern Iran that served as the political and cultural center of the Mongol Ilkhanid dynasty.
  • B. Ciudad de los Reyes
    Ciudad de los Reyes is the historical name of Lima, the capital and largest city of Peru, founded by the Spanish in the 16th century.
  • C. Qala
    Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
  • D. Madina
    Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
  • E. Akhnur
    Akhnur is a town in the Jammu district of the Indian union territory of Jammu and Kashmir, known for its strategic location near the India–Pakistan border and its historical and archaeological significance.
  • F. None of above. chosen

Provenance (5 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f760348190abd8854c369cb41b completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa1dafe8819094905ac930fd1761 completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b6e224819080957998acbed524 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.