Triple

T3755232
Position Surface form Disambiguated ID Type / Status
Subject The Landing E82029 entity
Predicate hasRestaurant P4442 FINISHED
Object The BOATHOUSE E83200 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 BOATHOUSE | Statement: [The Landing, hasRestaurant, The BOATHOUSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The BOATHOUSE
Context triple: [The Landing, hasRestaurant, The BOATHOUSE]
  • A. The Boathouse
    The Boathouse is a popular lakeside restaurant and event venue in St. Louis’s Forest Park, known for its scenic views and boat rentals.
  • B. The Boathouse chosen
    The Boathouse is a popular waterfront dining restaurant at Disney Springs known for its nautical theme, fresh seafood, and vintage amphicar rides.
  • C. Boathouse 4
    Boathouse 4 is a restored historic naval boathouse and interactive museum in Portsmouth Historic Dockyard, showcasing small Royal Navy craft and maritime heritage.
  • D. The Boat Service
    The Boat Service is the informal nickname for the Special Boat Service, an elite British special forces unit specializing in maritime counter-terrorism and covert operations.
  • E. The Harbour
    The Harbour is a creative work by Croatian illustrator, animator, and filmmaker Milan Trenc, known for his distinctive, surreal visual style.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb96dd908190b787b112ecd519df completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50bfdb0819097bdfdd38f553ada completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.