Triple

T14251047
Position Surface form Disambiguated ID Type / Status
Subject Sheung Shui E353261 entity
Predicate postalSystem P7766 FINISHED
Object Hongkong Post E1034895 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: Hongkong Post | Statement: [Sheung Shui, postalSystem, Hongkong Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hongkong Post
Context triple: [Sheung Shui, postalSystem, Hongkong Post]
  • A. Hongkong Post chosen
    Hongkong Post is the government-operated postal service of Hong Kong, providing mail delivery, logistics, and related services locally and internationally.
  • B. China Post
    China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
  • C. New Zealand Post
    New Zealand Post is the state-owned postal service and courier company responsible for mail and parcel delivery throughout New Zealand.
  • D. Australia Post
    Australia Post is the government-owned corporation responsible for providing postal and related services across Australia.
  • E. Swiss Post
    Swiss Post is Switzerland’s national postal service provider, responsible for mail delivery, logistics, and various financial and digital services across the country.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.