Triple

T19589661
Position Surface form Disambiguated ID Type / Status
Subject PostBus Switzerland E470197 entity
Predicate parentOrganization P254 FINISHED
Object Swiss Post E162351 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: Swiss Post | Statement: [PostBus Switzerland, parentOrganization, Swiss Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Post
Context triple: [PostBus Switzerland, parentOrganization, Swiss Post]
  • A. Swiss Post chosen
    Swiss Post is Switzerland’s national postal service provider, responsible for mail delivery, logistics, and various financial and digital services across the country.
  • B. Chronopost
    Chronopost is a French express parcel delivery company specializing in fast domestic and international shipping services.
  • C. Slovak Post
    Slovak Post is the national postal service of Slovakia, providing mail delivery, logistics, and related financial services throughout the country.
  • D. 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.
  • E. Swisscom
    Swisscom is Switzerland’s leading telecommunications provider, offering mobile, fixed-line, internet, and digital TV services to consumers and businesses.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640552db48190b34555e4b72a75c4 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1514e48190b3d4cba9663a5de0 completed May 15, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:43 p.m.