Triple
T14843966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FR-59 |
E349036
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Nord |
E70209
|
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: Nord | Statement: [FR-59, subdivisionName, Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord Context triple: [FR-59, subdivisionName, Nord]
-
A.
Nord
chosen
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
B.
Nord
Nord is an Italian publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Gruppo Editoriale Mauri Spagnol umbrella.
-
C.
Norden
Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
-
D.
Norden
Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
-
E.
Norra
Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64fe89e88190912cd205feef85d3 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.