Triple

T14499582
Position Surface form Disambiguated ID Type / Status
Subject Islands District E359596 entity
Predicate contains P35 FINISHED
Object Peng Chau E319889 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: Peng Chau | Statement: [Islands District, contains, Peng Chau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peng Chau
Context triple: [Islands District, contains, Peng Chau]
  • A. Peng Chau chosen
    Peng Chau is a small, laid-back outlying island of Hong Kong known for its traditional villages, temples, and coastal scenery.
  • B. Cheung Chau
    Cheung Chau is a small, densely populated island in Hong Kong known for its traditional fishing village atmosphere, popular beaches, and the annual Cheung Chau Bun Festival.
  • C. Long Ke Wan
    Long Ke Wan is a remote, crescent-shaped white-sand beach in Hong Kong’s Sai Kung area, known for its clear waters, dramatic coastal scenery, and popularity with hikers and campers.
  • D. 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.
  • E. Ma Wan
    Ma Wan is a small island in Hong Kong known for its residential developments, historic fishing village, and attractions like Noah’s Ark near the Tsing Ma Bridge.
  • 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_69fd94a7187c81909f173c2fb70509f5 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:21 a.m.