Triple

T7304844
Position Surface form Disambiguated ID Type / Status
Subject Republic of Karelia E167947 entity
Predicate contains P35 FINISHED
Object Kizhi Island E418694 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: Kizhi Island | Statement: [Republic of Karelia, contains, Kizhi Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kizhi Island
Context triple: [Republic of Karelia, contains, Kizhi Island]
  • A. Kizhi Island chosen
    Kizhi Island is a historic island in Russia renowned for its open-air museum of wooden architecture, including the UNESCO-listed Kizhi Pogost churches.
  • B. Laishan Island
    Laishan Island is an island located within Chaohu Lake in Anhui Province, China, known as one of the lake’s notable scenic spots.
  • C. Xiachuan Island
    Xiachuan Island is a small island off the coast of Taishan in Guangdong, China, known for its beaches, fishing villages, and relatively undeveloped, scenic coastline.
  • D. Qimei Island
    Qimei Island is a small, scenic outlying island of Taiwan known for its coastal rock formations, clear waters, and tranquil rural atmosphere within the Penghu archipelago.
  • E. Jibei Island
    Jibei Island is a small, scenic island in Taiwan’s Penghu archipelago, known for its long sand spit, clear waters, and popular water activities.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd61c0c8190abb1368c9dfb1550 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeeaa7488190adb55df8705e0952 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:01 p.m.