Triple
T14921606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Savannah, Georgia |
E371521
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Halle, Germany |
E799911
|
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: Halle, Germany | Statement: [City of Savannah, Georgia, twinCity, Halle, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halle, Germany Context triple: [City of Savannah, Georgia, twinCity, Halle, Germany]
-
A.
Halle, Germany
chosen
Halle is a city in the German state of Saxony-Anhalt known for its historic architecture, cultural institutions, and as the birthplace of composer George Frideric Handel.
-
B.
Hamm, Germany
Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
-
C.
Brühl, Germany
Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
-
D.
Celle, Germany
Celle is a historic town in Lower Saxony, Germany, known for its well-preserved half-timbered old town and ducal palace.
-
E.
Bergheim, Germany
Bergheim is a town in western Germany’s North Rhine-Westphalia known for its historic center and proximity to the Cologne metropolitan area.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:34 a.m.