Triple
T17059446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wołczyn |
E413915
|
entity |
| Predicate | germanName |
P6492
|
FINISHED |
| Object |
Konstadt
Konstadt is the historical German name for the Polish town of Wołczyn in the Opole Voivodeship.
|
E1257482
|
NE FINISHED |
How this triple was built (4 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: Konstadt | Statement: [Wołczyn, germanName, Konstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konstadt Context triple: [Wołczyn, germanName, Konstadt]
-
A.
Gauting
Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
-
B.
Seelow
Seelow is a small town in eastern Brandenburg, Germany, best known today as the administrative center of the Märkisch-Oderland district and for its proximity to the historic Seelow Heights battlefield of World War II.
-
C.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
-
D.
Gröbenzell
Gröbenzell is a suburban town in Upper Bavaria, Germany, known for its residential character and proximity to Munich.
-
E.
Henschhausen
Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Konstadt Triple: [Wołczyn, germanName, Konstadt]
Generated description
Konstadt is the historical German name for the Polish town of Wołczyn in the Opole Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konstadt Target entity description: Konstadt is the historical German name for the Polish town of Wołczyn in the Opole Voivodeship.
-
A.
Gauting
Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
-
B.
Seelow
Seelow is a small town in eastern Brandenburg, Germany, best known today as the administrative center of the Märkisch-Oderland district and for its proximity to the historic Seelow Heights battlefield of World War II.
-
C.
Fürstenfeldbruck
Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
-
D.
Gröbenzell
Gröbenzell is a suburban town in Upper Bavaria, Germany, known for its residential character and proximity to Munich.
-
E.
Henschhausen
Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
- F. None of above. chosen
Provenance (5 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7c21a881909bfb67080706612f |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673ff7ec8190add7af932c38deef |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016a8269cc8190b1ceba35d041403d |
completed | May 11, 2026, 5:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016b0e72588190b1ba2b45f0425d3d |
completed | May 11, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:34 a.m.