Triple
T10058212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurich |
E208915
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Emden |
E29348
|
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: Emden | Statement: [Aurich, locatedNear, Emden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emden Context triple: [Aurich, locatedNear, Emden]
-
A.
Emden
chosen
Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
-
B.
Dukenburg
Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
-
C.
Steinwerder
Steinwerder is a port and industrial district on the Elbe River in Hamburg, Germany, known for its docks, shipyards, and maritime facilities.
-
D.
Marienwerder
Marienwerder is a historic town in former West Prussia, now known as Kwidzyn in Poland, noted for its medieval architecture and Teutonic Order castle.
-
E.
Cattaro
Cattaro is the historical Italian name for the coastal town of Kotor in Montenegro, known for its well-preserved medieval old town and bay.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfaf7700819084dedf7b63e789c1 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5d4b308190b5b1ece1ca99be86 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.