Triple

T17943863
Position Surface form Disambiguated ID Type / Status
Subject Linqu E448651 entity
Predicate hasPostalSystem P14969 FINISHED
Object China Post 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: China Post | Statement: [Linqu, hasPostalSystem, China Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Post
Context triple: [Linqu, hasPostalSystem, 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. Chunghwa Post
    Chunghwa Post is Taiwan’s official postal service provider, offering nationwide mail delivery, logistics, and financial services.
  • C. Hongkong Post
    Hongkong Post is the government-operated postal service of Hong Kong, providing mail delivery, logistics, and related services locally and internationally.
  • D. China Postal Airlines
    China Postal Airlines is a Chinese cargo airline specializing in domestic and regional mail and freight transport, operating dedicated air routes for China Post.
  • E. Yuantong
    Yuantong is a Chinese era name used during the Yuan dynasty, preceding the Zhizheng era.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.