Triple

T4060446
Position Surface form Disambiguated ID Type / Status
Subject Yíhéyuán E86197 entity
Predicate hasPart P35 FINISHED
Object South Lake Island E160106 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: South Lake Island | Statement: [Yíhéyuán, hasPart, South Lake Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Lake Island
Context triple: [Yíhéyuán, hasPart, South Lake Island]
  • A. South Lake Island chosen
    South Lake Island is a scenic, man-made island within Beijing’s Summer Palace, known for its classical Chinese garden landscapes and historic pavilions connected by ornate bridges.
  • B. Derwent Island
    Derwent Island is a small, wooded island in Derwentwater in England’s Lake District, known for its scenic beauty and historic house.
  • C. Middle Island
    Middle Island is one of the small, remote islands in the Tristan da Cunha archipelago in the South Atlantic Ocean.
  • D. Raspberry Island
    Raspberry Island is one of Wisconsin’s Apostle Islands in Lake Superior, known for its historic lighthouse and scenic natural shoreline.
  • E. Basswood Island
    Basswood Island is one of the Apostle Islands in Lake Superior, known for its forested landscape, sandstone shoreline, and role in the region’s maritime and logging history.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd32c0c8190bc575974ccf831b3 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4d20dd0819080773876f6198250 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:38 p.m.