Triple

T14060944
Position Surface form Disambiguated ID Type / Status
Subject MTR Corporation E338342 entity
Predicate headquartersLocation P62 FINISHED
Object Kowloon Bay E890825 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: Kowloon Bay | Statement: [MTR Corporation, headquartersLocation, Kowloon Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kowloon Bay
Context triple: [MTR Corporation, headquartersLocation, Kowloon Bay]
  • A. Kowloon Bay chosen
    Kowloon Bay is a harbor and surrounding urban area in eastern Kowloon, Hong Kong, known for its former industrial waterfront and ongoing commercial and residential redevelopment.
  • B. Sok Kwu Wan
    Sok Kwu Wan is a traditional fishing village and popular seafood and hiking destination on Lamma Island in Hong Kong.
  • C. Siu Sai Wan
    Siu Sai Wan is a residential area on the eastern end of Hong Kong Island known for its high-rise housing estates and coastal location.
  • D. Chek Lap Kok
    Chek Lap Kok is a reclaimed island in Hong Kong best known as the site of Hong Kong International Airport.
  • E. Tung Chung Bay
    Tung Chung Bay is a coastal inlet on the northwestern shore of Lantau Island in Hong Kong, known for its scenic waters, surrounding hills, and proximity to the Tung Chung new town and transport links.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd466febb88190986eb8f033d29279 completed May 8, 2026, 2:12 a.m.
Created at: April 9, 2026, 10:21 p.m.