Triple
T10215681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelland |
E242434
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Jerichower Land |
E650799
|
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: Jerichower Land | Statement: [Havelland, borderedBy, Jerichower Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerichower Land Context triple: [Havelland, borderedBy, Jerichower Land]
-
A.
Jerichower Land
chosen
Jerichower Land is a rural district in the German state of Saxony-Anhalt, known for its small towns, agricultural landscape, and location along the Elbe River.
-
B.
Löwenberger Land
Löwenberger Land is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its agricultural landscape and small villages north of Berlin.
-
C.
Havelland
Havelland is a rural district in western Brandenburg, Germany, known for its river landscapes along the Havel, historic towns, and agricultural character.
-
D.
Jerichow
Jerichow is a small historic town in the German state of Saxony-Anhalt, known for its well-preserved Romanesque monastery complex.
-
E.
Rübeland
Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a804e8748190b4ebcfa9a0bb889f |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:05 a.m.