Triple

T22527235
Position Surface form Disambiguated ID Type / Status
Subject حسن الإمام E556938 entity
Predicate أخرج P148524 FINISHED
Object قصر الشوق 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: قصر الشوق | Statement: [حسن الإمام, أخرج, قصر الشوق]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: قصر الشوق
Context triple: [حسن الإمام, أخرج, قصر الشوق]
  • A. قصر الشوق chosen
    قصر الشوق هي رواية عربية شهيرة لنجيب محفوظ تُعد الجزء الثاني من ثلاثية القاهرة وتتناول تحولات المجتمع المصري عبر حكاية أسرة عبد الجواد.
  • B. Le Palais
    Le Palais is the principal port town and administrative center of Belle-Île, an island off the coast of Brittany in northwestern France.
  • C. Le Palacio
    Le Palacio is a monumental residential building that forms part of Ricardo Bofill’s postmodern housing complex Les Espaces d'Abraxas in Noisy-le-Grand, France.
  • D. قصر البديع
    قصر البديع هو قصر تاريخي أثري في مراكش بالمغرب شيده السلطان السعدي أحمد المنصور في أواخر القرن السادس عشر ويُعد من أبرز المعالم المعمارية الإسلامية في البلاد.
  • E. Das Schloss
    Das Schloss is a prominent shopping mall in Berlin known for its distinctive architecture and wide range of retail and dining options.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.