Triple

T12090802
Position Surface form Disambiguated ID Type / Status
Subject Central Park E287934 entity
Predicate hasPart P35 FINISHED
Object The Mall and Literary Walk E33087 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: The Mall and Literary Walk | Statement: [Central Park, hasPart, The Mall and Literary Walk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Mall and Literary Walk
Context triple: [Central Park, hasPart, The Mall and Literary Walk]
  • A. The Mall and Literary Walk chosen
    The Mall and Literary Walk is a broad, tree-lined promenade in Central Park known for its American elm canopy and statues of notable literary figures.
  • B. Theatre Walk
    Theatre Walk is a pedestrian thoroughfare in Derby, England, known for providing access to Derby Theatre and nearby cultural and commercial venues.
  • C. Upper Mall
    Upper Mall is a historic riverside street in Hammersmith, London, lined with notable period houses and overlooking the River Thames.
  • D. The Grand Walk
    The Grand Walk is a notable area within World of Warcraft’s Castle Nathria raid, serving as one of the ornate corridors players traverse while progressing through the gothic stronghold.
  • E. Broad Street Mall
    Broad Street Mall is a major indoor shopping centre in Reading, England, featuring a range of retail stores, services, and eateries.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9151797988190b0d007ea806bcf02 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66d1b44819091f638d2a621ecde completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.