Triple

T14916613
Position Surface form Disambiguated ID Type / Status
Subject Victoria City E371398 entity
Predicate hasPart P35 FINISHED
Object Sai Ying Pun 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: Sai Ying Pun | Statement: [Victoria City, hasPart, Sai Ying Pun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sai Ying Pun
Context triple: [Victoria City, hasPart, Sai Ying Pun]
  • A. Sai Ying Pun chosen
    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.
  • B. Chai Wan
    Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
  • C. Lai Chi Kok
    Lai Chi Kok is an urban area in western Kowloon, Hong Kong, known for its residential neighborhoods, industrial zones, and transport links including the Lai Chi Kok MTR station.
  • D. Shau Kei Wan
    Shau Kei Wan is a densely populated residential and historic fishing district located on the eastern side of Hong Kong Island.
  • E. 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.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
Created at: April 10, 2026, 2:31 a.m.