Triple

T17006496
Position Surface form Disambiguated ID Type / Status
Subject Jyutping E412583 entity
Predicate comparedWith P278 FINISHED
Object Sidney Lau romanization E539946 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: Sidney Lau romanization | Statement: [Jyutping, comparedWith, Sidney Lau romanization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Lau romanization
Context triple: [Jyutping, comparedWith, Sidney Lau romanization]
  • A. Sidney Lau Cantonese romanization chosen
    Sidney Lau Cantonese romanization is a widely used system for transcribing Cantonese pronunciation into the Latin alphabet, particularly known from Sidney Lau’s teaching materials for Cantonese learners.
  • B. Lau
    Lau is an Austronesian language spoken by the Lau people of northeast Malaita in the Solomon Islands.
  • C. Siu
    Siu is an alternative transliteration of the Chinese surname commonly rendered as Shu.
  • D. Chuk Yuen
    Chuk Yuen is a residential area in Hong Kong known for its public housing estates and proximity to the Wong Tai Sin Temple.
  • E. Lee-Chin
    Lee-Chin is the surname of Jamaican-Canadian billionaire businessman and philanthropist Michael Lee-Chin.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3831268819089286053a5acf653 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc2035848190bf299875d37c8ac7 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.