Triple

T14939656
Position Surface form Disambiguated ID Type / Status
Subject Sai Kung District E372488 entity
Predicate contains P35 FINISHED
Object Kau Sai Chau
Kau Sai Chau is an island in Hong Kong best known for its public golf course complex and natural coastal scenery.
E1131805 NE FINISHED

How this triple was built (4 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: Kau Sai Chau | Statement: [Sai Kung District, contains, Kau Sai Chau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kau Sai Chau
Context triple: [Sai Kung District, contains, Kau Sai Chau]
  • A. Ma On Shan
    Ma On Shan is a residential new town and former mining area in Hong Kong’s New Territories, known for its hillside setting along Tolo Harbour.
  • B. Tsz Wan Shan
    Tsz Wan Shan is a densely populated residential area in Kowloon, Hong Kong, known for its public housing estates and hillside location.
  • C. 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.
  • D. Ko Rang Ka Chiu
    Ko Rang Ka Chiu is a small island in Thailand’s Gulf of Thailand, known as part of the Chumphon Archipelago and valued for its marine life and coastal scenery.
  • E. Chek Lap Kok
    Chek Lap Kok is a reclaimed island in Hong Kong best known as the site of Hong Kong International Airport.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kau Sai Chau
Triple: [Sai Kung District, contains, Kau Sai Chau]
Generated description
Kau Sai Chau is an island in Hong Kong best known for its public golf course complex and natural coastal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kau Sai Chau
Target entity description: Kau Sai Chau is an island in Hong Kong best known for its public golf course complex and natural coastal scenery.
  • A. Ma On Shan
    Ma On Shan is a residential new town and former mining area in Hong Kong’s New Territories, known for its hillside setting along Tolo Harbour.
  • B. Tsz Wan Shan
    Tsz Wan Shan is a densely populated residential area in Kowloon, Hong Kong, known for its public housing estates and hillside location.
  • C. 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.
  • D. Ko Rang Ka Chiu
    Ko Rang Ka Chiu is a small island in Thailand’s Gulf of Thailand, known as part of the Chumphon Archipelago and valued for its marine life and coastal scenery.
  • E. Chek Lap Kok
    Chek Lap Kok is a reclaimed island in Hong Kong best known as the site of Hong Kong International Airport.
  • F. None of above. chosen

Provenance (5 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64a2f24819099b21566756668a2 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968d71dc81909b76551f9cd9ebab completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe98917abc81908998205b4ecf201f completed May 9, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69fe997c744481909bd3c66c3dd68f19 completed May 9, 2026, 2:18 a.m.
Created at: April 10, 2026, 2:38 a.m.