Triple

T10412084
Position Surface form Disambiguated ID Type / Status
Subject HAECO E245415 entity
Predicate locatedIn P40 FINISHED
Object Chek Lap Kok E283888 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: Chek Lap Kok | Statement: [HAECO, locatedIn, Chek Lap Kok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chek Lap Kok
Context triple: [HAECO, locatedIn, Chek Lap Kok]
  • A. Chek Lap Kok chosen
    Chek Lap Kok is a reclaimed island in Hong Kong best known as the site of Hong Kong International Airport.
  • 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. 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.
  • D. 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.
  • E. 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.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbfae96c8190ac496e9a1158afe4 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.