Triple

T7248956
Position Surface form Disambiguated ID Type / Status
Subject BE KOBE monument E156545 entity
Predicate nearby P350 FINISHED
Object Harborland area E154787 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 area | Statement: [BE KOBE monument, nearby, Harborland area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harborland area
Context triple: [BE KOBE monument, nearby, Harborland area]
  • A. Harbor Area
    Harbor Area is a region in the southern part of Los Angeles known for its port facilities, industrial zones, and coastal communities.
  • B. Harborland district chosen
    Harborland district is a popular waterfront shopping and entertainment area in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • C. Sailortown area
    The Sailortown area is a historic dockside district of Belfast known for its maritime heritage and working-class roots, now undergoing urban regeneration along the city’s waterfront.
  • D. Port Area
    Port Area is a coastal district of Manila known for its harbor facilities, shipping activities, and proximity to the historic walled city of Intramuros.
  • E. Grandi harbor area
    Grandi harbor area is a revitalized waterfront district in Reykjavík known for its mix of working harbor, cultural venues, restaurants, and creative industries.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea763f208190af1210cd8d2a05c9 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d39dab6081909842bfa37ff3f972 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:56 p.m.