Triple
T16536306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stendal |
E401699
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | Stendal town council |
E401699
|
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: Stendal town council | Statement: [Stendal, governingBody, Stendal town council]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stendal town council Context triple: [Stendal, governingBody, Stendal town council]
-
A.
Stendal
chosen
Stendal is a historic town in the German state of Saxony-Anhalt, known as a regional cultural center and the birthplace of art historian Johann Joachim Winckelmann.
-
B.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
C.
Stahnsdorf
Stahnsdorf is a municipality in the Potsdam-Mittelmark district of Brandenburg, Germany, known for its large forest cemetery and its location on the southwestern outskirts of Berlin.
-
D.
Stendal district
Stendal district is a rural administrative district in the north of the German state of Saxony-Anhalt, known for its historic towns and location along the Elbe River.
-
E.
Staßfurt
Staßfurt is a town in Saxony-Anhalt, Germany, historically known for its salt mining and chemical industry.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34558ec448190a6dcc15d62d1889c |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.