Triple
T18449535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alle |
E450741
|
entity |
| Predicate | hasPostalSystem |
P14969
|
FINISHED |
| Object | Swiss 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: Swiss Post | Statement: [Alle, hasPostalSystem, Swiss Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swiss Post Context triple: [Alle, 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.
Chronopost
Chronopost is a French express parcel delivery company specializing in fast domestic and international shipping services.
-
C.
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.
-
D.
Swisscom
Swisscom is Switzerland’s leading telecommunications provider, offering mobile, fixed-line, internet, and digital TV services to consumers and businesses.
-
E.
Hongkong Post
Hongkong Post is the government-operated postal service of Hong Kong, providing mail delivery, logistics, and related services locally and internationally.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264748dc8190984501af3e4b2036 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.