Triple

T13341593
Position Surface form Disambiguated ID Type / Status
Subject Majiabao E317838 entity
Predicate postalSystem P7766 FINISHED
Object China Post E455296 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: China Post | Statement: [Majiabao, postalSystem, China Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Post
Context triple: [Majiabao, postalSystem, China Post]
  • A. China Post chosen
    China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
  • B. Hongkong Post
    Hongkong Post is the government-operated postal service of Hong Kong, providing mail delivery, logistics, and related services locally and internationally.
  • C. Vietnam Post
    Vietnam Post is Vietnam’s state-owned national postal service provider, responsible for mail delivery, logistics, and related financial and communication services across the country.
  • D. 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.
  • E. India Post
    India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d0379d481909a50fff31b19fed1 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7267132488190a62930e98be70640 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.