Triple

T6019150
Position Surface form Disambiguated ID Type / Status
Subject Kosoku Kobe Station E134021 entity
Predicate serves P98 FINISHED
Object Harborland district 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 district | Statement: [Kosoku Kobe Station, serves, Harborland district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harborland district
Context triple: [Kosoku Kobe Station, serves, Harborland district]
  • A. 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.
  • B. West Bay district
    West Bay district is a modern, upscale business and residential area in Doha, Qatar, known for its high-rise skyline, luxury hotels, and proximity to the waterfront.
  • C. Harbourside
    Harbourside is Bristol’s regenerated waterfront district, known for its cultural attractions, restaurants, and scenic views along the city’s historic docks.
  • D. Waterside District
    Waterside District is a waterfront dining, entertainment, and shopping destination located along the Elizabeth River in downtown Norfolk, Virginia.
  • E. Co Do District
    Co Do District is a rural administrative district of Cần Thơ city in Vietnam’s Mekong Delta region.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108be2170819084b4b940e52b0185 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.