Triple

T20499713
Position Surface form Disambiguated ID Type / Status
Subject ملكة الأردن E503266 entity
Predicate يرتبط بـ P37 FINISHED
Object العاصمة عمّان 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: العاصمة عمّان | Statement: [ملكة الأردن, يرتبط بـ, العاصمة عمّان]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: العاصمة عمّان
Context triple: [ملكة الأردن, يرتبط بـ, العاصمة عمّان]
  • A. Amman
    Amman is a revered Hindu mother goddess figure, widely worshipped in South India as a protective and benevolent divine mother.
  • B. Amman chosen
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • C. Kuwait City
    Kuwait City is the capital and largest city of Kuwait, serving as a major political, economic, and cultural center on the Persian Gulf.
  • D. المسد
    المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
  • E. Al Rayyan
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.