Triple

T12229315
Position Surface form Disambiguated ID Type / Status
Subject Sheung Wan E291433 entity
Predicate partOf P40 FINISHED
Object Victoria City E371398 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: Victoria City | Statement: [Sheung Wan, partOf, Victoria City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria City
Context triple: [Sheung Wan, partOf, Victoria City]
  • A. Victoria City
    Victoria City is the capital of the Canadian province of British Columbia, known for its historic architecture, coastal setting, and role as a regional cultural and economic center.
  • B. Victoria City chosen
    Victoria City was the historic administrative and commercial center of colonial Hong Kong, encompassing the core urban area on the northern shore of Hong Kong Island.
  • C. Ciudad de Victoria
    Ciudad de Victoria is a large tourism, sports, and entertainment complex in Bulacan, Philippines, best known as the site of the massive Philippine Arena and other landmark facilities.
  • D. King City
    King City is a small community named after and located within the municipality of King in Ontario, Canada.
  • E. King City
    King City is a small agricultural city in Monterey County, California, located in the Salinas Valley along U.S. Route 101.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca34fe88190900c8791c70948b7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.