Triple

T14779460
Position Surface form Disambiguated ID Type / Status
Subject Genie E347351 entity
Predicate nationality P2 FINISHED
Object Agrabah (fictional) 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 (fictional) | Statement: [Genie, nationality, Agrabah (fictional)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agrabah (fictional)
Context triple: [Genie, nationality, Agrabah (fictional)]
  • 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. Makhzen
    The Makhzen is the traditional governing elite and administrative apparatus of Morocco, centered around the monarchy and its network of political, military, and economic power.
  • D. Sheger City
    Sheger City is a newly established administrative city in Ethiopia that encompasses parts of Addis Ababa and its surroundings, serving as a growing political and cultural hub.
  • E. 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.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.