Triple
T18145382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPDgroup |
E434374
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | SEUR |
—
|
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: SEUR | Statement: [DPDgroup, owns, SEUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEUR Context triple: [DPDgroup, owns, SEUR]
-
A.
SEUR
chosen
SEUR is a Spanish express parcel and logistics company operating under the international DPDgroup network.
-
B.
SEUSL
SEUSL is a public university in Sri Lanka’s Eastern Province known for providing higher education and research opportunities across a range of disciplines.
-
C.
SEEL
SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
-
D.
SÉG
SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
-
E.
SEBE
SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
- 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.