Triple

T20202190
Position Surface form Disambiguated ID Type / Status
Subject Queen Rania Foundation for Education and Development E493250 entity
Predicate headquartersLocation P62 FINISHED
Object Amman NE NERFINISHED

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: Amman | Statement: [Queen Rania Foundation for Education and Development, headquartersLocation, Amman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amman
Context triple: [Queen Rania Foundation for Education and Development, headquartersLocation, Amman]
  • A. Amman chosen
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • B. Amman
    Amman is a revered Hindu mother goddess figure, widely worshipped in South India as a protective and benevolent divine mother.
  • C. Irbid
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • D. Ma’an
    Ma’an is a major city in southern Jordan that serves as an important regional hub and gateway to nearby desert and archaeological sites.
  • E. Al-Karak
    Al-Karak is a historic Jordanian city best known for its imposing Crusader-era hilltop castle overlooking the surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8e0df481909c030e2a01d1862a completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.