Triple

T6304347
Position Surface form Disambiguated ID Type / Status
Subject Breitenbach E141334 entity
Predicate hasPostalSystem P14969 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: [Breitenbach, hasPostalSystem, Swiss Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Post
Context triple: [Breitenbach, hasPostalSystem, 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. 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. Bosta
    Bosta is a coastal area on the Isle of Lewis in Scotland, best known for its reconstructed Iron Age house and archaeological remains revealed by shifting sands.
  • D. Canada Post
    Canada Post is the primary postal operator in Canada, providing mail and parcel delivery services nationwide.
  • E. Royal Mail
    Royal Mail is the United Kingdom’s long-established national postal service and courier company responsible for mail collection and delivery across the country and internationally.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e43e085081908546fa120a43bf84 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.