Triple

T12567285
Position Surface form Disambiguated ID Type / Status
Subject Donald Tsang E295503 entity
Predicate placeOfBirth P1 FINISHED
Object Wan Chai E328758 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: Wan Chai | Statement: [Donald Tsang, placeOfBirth, Wan Chai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wan Chai
Context triple: [Donald Tsang, placeOfBirth, Wan Chai]
  • A. Sheung Wan
    Sheung Wan is a historic district on Hong Kong Island known for its blend of traditional Chinese shops, temples, and modern cafes and galleries.
  • B. Wan Chai District chosen
    Wan Chai District is a densely developed commercial and residential area on Hong Kong Island known for its skyscrapers, nightlife, and historic and cultural landmarks.
  • C. Chai Wan
    Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
  • D. Sai Ying Pun
    Sai Ying Pun is a historic, densely populated neighborhood on Hong Kong Island known for its mix of traditional shops, trendy cafes, and colonial-era architecture.
  • E. East Kowloon
    East Kowloon is a largely urbanized area on the eastern side of Hong Kong’s Kowloon Peninsula, known for its dense residential districts, industrial zones, and major redevelopment projects on former airport and waterfront sites.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2588b448190b5dc5a5d37fd1897 completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 11:49 p.m.