Triple

T4480646
Position Surface form Disambiguated ID Type / Status
Subject Xiamen E100120 entity
Predicate languageSpoken P151 FINISHED
Object Hokkien E410805 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: Hokkien | Statement: [Xiamen, languageSpoken, Hokkien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokkien
Context triple: [Xiamen, languageSpoken, Hokkien]
  • A. Hokkien chosen
    Hokkien is a Southern Min Chinese language variety widely spoken in Taiwan, Southeast Asia, and parts of southern China, known for its rich tonal system and distinct vocabulary from Mandarin.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Hakka
    Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
  • D. Hanko
    Hanko is a coastal town in southern Finland known for its beaches, maritime heritage, and status as the country’s southernmost city.
  • E. Chitose
    Chitose was a Japanese warship of the Imperial Japanese Navy, originally built as a seaplane tender and later converted into a light aircraft carrier that was sunk in World War II.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dcaba88190ae2d64c038450ca6 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6377c694881909428b5cffb405c8d completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:36 p.m.