Triple
T18145381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPDgroup |
E434374
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | DPD France |
—
|
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: DPD France | Statement: [DPDgroup, owns, DPD France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DPD France Context triple: [DPDgroup, owns, DPD France]
-
A.
DPD
DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
-
B.
DPD
DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
-
C.
DPDgroup
chosen
DPDgroup is a major international parcel delivery and logistics company operating across Europe and beyond under brands such as DPD, Chronopost, and SEUR.
-
D.
DHL
DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
-
E.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
- 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.