Triple
T18145385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPDgroup |
E434374
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | La Poste Groupe |
—
|
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: La Poste Groupe | Statement: [DPDgroup, partOf, La Poste Groupe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Poste Groupe Context triple: [DPDgroup, partOf, La Poste Groupe]
-
A.
Chronopost
Chronopost is a French express parcel delivery company specializing in fast domestic and international shipping services.
-
B.
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.
-
C.
La Poste (France)
chosen
La Poste (France) is the French national postal service company, responsible for mail delivery, parcel services, banking, and related logistics across France and abroad.
-
D.
Bouygues
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
-
E.
France Télécom
France Télécom was the former state-owned French telecommunications company that evolved into Orange S.A., a major global telecom operator.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de33921c8190b6f645ca63fd146b |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.