Triple

T23500395
Position Surface form Disambiguated ID Type / Status
Subject Kellett Island E571821 entity
Predicate connectedTo P37 FINISHED
Object Hong Kong Island NE NERFINISHED

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: Hong Kong Island | Statement: [Kellett Island, connectedTo, Hong Kong Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong Island
Context triple: [Kellett Island, connectedTo, Hong Kong Island]
  • A. Hong Kong Island chosen
    Hong Kong Island is the densely populated, historically significant main island of Hong Kong, home to the city’s central business district and iconic skyline.
  • 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. Lamma Island
    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.
  • D. Taipa
    Taipa is a small coastal settlement in New Zealand’s Far North District, known for its sandy beaches and role as a holiday and fishing destination.
  • E. Islands of Hong Kong
    The Islands of Hong Kong are a collection of outlying islands surrounding Hong Kong’s main urban areas, many of which are less densely populated and known for their natural scenery, beaches, and hiking trails.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.