Triple

T20063545
Position Surface form Disambiguated ID Type / Status
Subject Kobe, Hyogo, Japan E499546 entity
Predicate hasLandmark P105 FINISHED
Object Harborland 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: Harborland | Statement: [Kobe, Hyogo, Japan, hasLandmark, Harborland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harborland
Context triple: [Kobe, Hyogo, Japan, hasLandmark, 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. Wild Harbor
    Wild Harbor is a coastal neighborhood in North Falmouth, Massachusetts, known for its beaches and scenic views of Buzzards Bay.
  • E. Dark Harbor
    Dark Harbor is a historic summer resort village on Islesboro, Maine, known for its coastal charm and long association with affluent seasonal residents.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66377b6b48190a0a37279f285123e completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.