Triple
T3123487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dudelange |
E65239
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Lauenburg/Elbe |
E155306
|
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: Lauenburg/Elbe | Statement: [Dudelange, twinTown, Lauenburg/Elbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauenburg/Elbe Context triple: [Dudelange, twinTown, Lauenburg/Elbe]
-
A.
Lauenburg
chosen
Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
-
B.
Hohenfinow
Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
-
C.
Schwarmstedt
Schwarmstedt is a municipality in Lower Saxony, Germany, situated in the Heidekreis district along the River Aller.
-
D.
Torgau
Torgau is a historic town in eastern Germany, known for its Renaissance architecture and its role as a key meeting point of Allied forces near the end of World War II.
-
E.
Borsigwalde
Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52c105c8190b8128e66d9b9e8a0 |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f72c2048190ab2aa40a109f5976 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.