Triple

T14627897
Position Surface form Disambiguated ID Type / Status
Subject Tsuen Wan E343399 entity
Predicate nearbyArea P2064 FINISHED
Object Kwai Fong E827575 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: Kwai Fong | Statement: [Tsuen Wan, nearbyArea, Kwai Fong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwai Fong
Context triple: [Tsuen Wan, nearbyArea, Kwai Fong]
  • A. Kwai Chung chosen
    Kwai Chung is a major industrial and residential area in Hong Kong best known for its large container terminals and logistics facilities that form a core part of the city’s port operations.
  • B. Fong Lim
    Fong Lim is an electoral division in the Northern Territory of Australia, represented in the Northern Territory Legislative Assembly.
  • C. Hung Sin Nui
    Hung Sin Nui was a renowned Cantonese opera diva and film actress, celebrated as one of the most iconic performers in the history of Cantonese opera.
  • D. Wong Chia-chi
    Wong Chia-chi is the young Chinese student-turned-spy at the center of Ang Lee’s film and Eileen Chang’s novella "Lust, Caution," whose dangerous mission and conflicted emotions drive the story’s exploration of desire, betrayal, and political intrigue in wartime Shanghai.
  • E. Nai Leng
    Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d0514081908c2bdc4fb77b1a7a completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.