Triple

T22397376
Position Surface form Disambiguated ID Type / Status
Subject Broad Street (Reading) E553669 entity
Predicate hasNearby P350 FINISHED
Object Broad Street Mall 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: Broad Street Mall | Statement: [Broad Street (Reading), hasNearby, Broad Street Mall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broad Street Mall
Context triple: [Broad Street (Reading), hasNearby, Broad Street Mall]
  • A. Broad Street Mall chosen
    Broad Street Mall is a major indoor shopping centre in Reading, England, featuring a range of retail stores, services, and eateries.
  • B. West Mall
    West Mall is a shopping complex within Shibuya Mark City in Tokyo, featuring a variety of retail stores, restaurants, and services.
  • C. Trinity Street Mall
    Trinity Street Mall is a pedestrian-friendly promenade within Hartford’s Bushnell Park, featuring walkways, green space, and access to surrounding civic and cultural areas.
  • D. Dixon Street Mall
    Dixon Street Mall is a central pedestrian thoroughfare and cultural hub in Sydney’s Chinatown, known for its Asian eateries, shops, and vibrant street life.
  • E. Washington Street Mall
    Washington Street Mall is a popular pedestrian shopping and dining district in historic Cape May, New Jersey.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585f67108190b8d3f23eaa0ed120 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.