Triple
T10079531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennigsdorf |
E213861
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Velten |
E380237
|
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: Velten | Statement: [Hennigsdorf, borderedBy, Velten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velten Context triple: [Hennigsdorf, borderedBy, Velten]
-
A.
Velten
chosen
Velten is a small town in the German state of Brandenburg, known historically for its stove and ceramics industry and its location just northwest of Berlin.
-
B.
Lennestadt
Lennestadt is a town in the Olpe district of North Rhine-Westphalia, Germany, known for its location in the hilly, forested Sauerland region and its mix of industry and tourism.
-
C.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
D.
Kostheim
Kostheim is a district of the city of Wiesbaden in the German state of Hesse, located on the right bank of the Rhine opposite Mainz.
-
E.
Thiensville
Thiensville is a small village in southeastern Wisconsin, known as a suburban community within the Milwaukee 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd031ce748190bb71189afd331979 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ad406d88190a72c5a62b3586f47 |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 9 p.m.