Triple

T14364382
Position Surface form Disambiguated ID Type / Status
Subject Sai Kung E356190 entity
Predicate hasPart P35 FINISHED
Object Sai Kung Town E372488 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: Sai Kung Town | Statement: [Sai Kung, hasPart, Sai Kung Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sai Kung Town
Context triple: [Sai Kung, hasPart, Sai Kung Town]
  • A. Sai Kung
    Sai Kung is a coastal town and district in eastern Hong Kong known for its fishing villages, seafood restaurants, country parks, and scenic hiking and boating spots.
  • B. Tsing Yi
    Tsing Yi is a major island in Hong Kong known for its dense residential areas, extensive transport links, and key container terminals supporting the city’s port operations.
  • C. Sai Kung District chosen
    Sai Kung District is a scenic coastal district in eastern Hong Kong known for its fishing villages, country parks, hiking trails, and popular seafood restaurants.
  • D. Tsuen Wan
    Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
  • E. Ho Man Tin
    Ho Man Tin is a primarily residential district in Kowloon, Hong Kong, known for its schools, public housing estates, and proximity to major urban centers.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4cb0c4819094d59b4b1d43588b completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.