Triple

T5311453
Position Surface form Disambiguated ID Type / Status
Subject Mosaic Big Ferris Wheel E119039 entity
Predicate locatedInDistrict P40 FINISHED
Object Harborland E22583 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: Harborland | Statement: [Mosaic Big Ferris Wheel, locatedInDistrict, Harborland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harborland
Context triple: [Mosaic Big Ferris Wheel, locatedInDistrict, Harborland]
  • A. Harborland chosen
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • B. Havens
    Havens is the surname of Richie Havens, the American folk singer and guitarist best known for his iconic opening performance at the 1969 Woodstock Festival.
  • C. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • D. Stage Harbor
    Stage Harbor is a scenic natural harbor in Chatham, Massachusetts, known for its sheltered waters, boating, and classic Cape Cod coastal views.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b546a481909d18cad5ec391705 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:53 p.m.