Triple

T13255351
Position Surface form Disambiguated ID Type / Status
Subject Lamma Island E315643 entity
Predicate ChineseName P744 FINISHED
Object 南丫島 E315643 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: 南丫島 | Statement: [Lamma Island, ChineseName, 南丫島]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 南丫島
Context triple: [Lamma Island, ChineseName, 南丫島]
  • A. 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.
  • B. Tsing Yi Island
    Tsing Yi Island is a major urbanized island in Hong Kong known for its residential estates, container terminals, and strategic transport links including bridges and highways.
  • C. Lantau Island
    Lantau Island is the largest island in Hong Kong, known for its mountainous landscapes, traditional fishing villages, major transport links, and popular tourist attractions.
  • D. Lamma Island chosen
    Lamma Island is a laid-back, largely car-free outlying island of Hong Kong known for its hiking trails, seafood restaurants, and village-style coastal communities.
  • E. Peng Chau
    Peng Chau is a small, laid-back outlying island of Hong Kong known for its traditional villages, temples, and coastal scenery.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4240d881909f0ee898fd272826 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:24 p.m.