Triple

T14499590
Position Surface form Disambiguated ID Type / Status
Subject Islands District E359596 entity
Predicate contains P35 FINISHED
Object Tung Chung E310372 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: Tung Chung | Statement: [Islands District, contains, Tung Chung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tung Chung
Context triple: [Islands District, contains, Tung Chung]
  • A. Tung Chung chosen
    Tung Chung is a rapidly developing residential and commercial town on the northwestern coast of Lantau Island in Hong Kong, known for its proximity to the airport and the Ngong Ping 360 cable car.
  • B. Kwu Tung
    Kwu Tung is a developing area in Hong Kong’s New Territories known for its planned new town, residential projects, and transport links including a future MTR station.
  • C. Tung O
    Tung O is a small coastal settlement on Hong Kong’s Lamma Island, known for its rural character and scenic seaside surroundings.
  • D. Tai Khuen
    Tai Khuen is a Tai ethnic group and language primarily associated with the Kengtung region of eastern Myanmar.
  • E. Pak Tam Chung
    Pak Tam Chung is a scenic gateway area in Hong Kong’s Sai Kung Peninsula, known for its country park visitor facilities, hiking trailheads, and access to natural landscapes.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a420040819097ee73390d625338 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.