Triple

T13087539
Position Surface form Disambiguated ID Type / Status
Subject North District (Hong Kong) E310375 entity
Predicate contains P35 FINISHED
Object Fanling E310373 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: Fanling | Statement: [North District (Hong Kong), contains, Fanling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fanling
Context triple: [North District (Hong Kong), contains, Fanling]
  • A. Fanling chosen
    Fanling is a residential town and administrative area in the northern New Territories of Hong Kong, known for its mix of public housing estates, traditional villages, and transport links to mainland China.
  • B. Fanling Wai
    Fanling Wai is a traditional walled village in Fanling, Hong Kong, known for its historic ancestral halls and preserved village architecture.
  • C. Fanling station
    Fanling station is a Mass Transit Railway (MTR) station in Hong Kong’s New Territories serving the Fanling area on the East Rail line.
  • D. Chung King
    Chung King was the name given to the former British light cruiser HMS Aurora after she was transferred to the Chinese Navy.
  • E. Puxi
    Puxi is the historic, densely urbanized western part of Shanghai, known for its traditional neighborhoods, commercial districts, and cultural landmarks.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5cafd6c81908cb16bc0129ae74e completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:02 p.m.