Triple

T21562234
Position Surface form Disambiguated ID Type / Status
Subject Al-Sukkariyya E532064 entity
Predicate relatedWork P37 FINISHED
Object Palace Walk 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: Palace Walk | Statement: [Al-Sukkariyya, relatedWork, Palace Walk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palace Walk
Context triple: [Al-Sukkariyya, relatedWork, Palace Walk]
  • A. Palace Walk chosen
    "Palace Walk" is a renowned novel by Egyptian Nobel laureate Naguib Mahfouz, serving as the first book in his celebrated Cairo Trilogy that portrays a middle-class family's life in early 20th-century Cairo.
  • B. Queen’s Walk
    Queen’s Walk is a prominent pedestrian promenade in central London that runs alongside Green Park and connects key royal and historic landmarks.
  • C. Empress Walk
    Empress Walk is a mixed-use commercial and residential complex in North York, Toronto, featuring a shopping mall, cinema, and high-rise condominium towers.
  • D. Palace Embankment
    Palace Embankment is a historic waterfront promenade in Saint Petersburg, Russia, renowned for its grand palaces and cultural landmarks along the Neva River.
  • E. Broad Walk
    Broad Walk is a prominent tree-lined pedestrian path in Oxford, England, running along Christ Church Meadow and offering scenic views of the college and surrounding landscape.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e5c3348190b67003e7027efa60 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.