Triple

T5835386
Position Surface form Disambiguated ID Type / Status
Subject Garrison Channel E129455 entity
Predicate near P350 FINISHED
Object Sparkman Wharf E114783 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: Sparkman Wharf | Statement: [Garrison Channel, near, Sparkman Wharf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparkman Wharf
Context triple: [Garrison Channel, near, Sparkman Wharf]
  • A. Sparkman Wharf chosen
    Sparkman Wharf is a popular waterfront dining, entertainment, and recreational destination located along the Garrison Channel in Tampa’s Channelside district.
  • B. Stearns Wharf
    Stearns Wharf is a historic wooden pier and popular waterfront destination in Santa Barbara, California, featuring shops, restaurants, and scenic coastal views.
  • C. Pickering Wharf
    Pickering Wharf is a waterfront shopping, dining, and marina complex in Salem, Massachusetts, known for its historic harbor setting and tourist-friendly boardwalk.
  • D. Gabriel’s Wharf
    Gabriel’s Wharf is a riverside enclave on London’s South Bank known for its independent shops, cafes, and outdoor dining with views over the Thames.
  • E. King Street Wharf
    King Street Wharf is a popular waterfront dining, entertainment, and marina precinct located on the eastern side of Darling Harbour in Sydney, Australia.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a358708190bfce78e7bd75db36 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a196ebb88190aea57899be954aae completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.