Triple
T17010283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passau |
E412680
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ilzstadt
Ilzstadt is a historic district of the Bavarian city of Passau, situated picturesquely between the rivers Danube and Ilz.
|
E1271384
|
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: Ilzstadt | Statement: [Passau, hasPart, Ilzstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilzstadt Context triple: [Passau, hasPart, Ilzstadt]
-
A.
Ebermannstadt
Ebermannstadt is a small historic town in northern Bavaria, Germany, known as a gateway to the scenic Franconian Switzerland region.
-
B.
Maichingen
Maichingen is a district of the city of Sindelfingen in the German state of Baden-Württemberg.
-
C.
Schwalmstadt
Schwalmstadt is a small town in the Schwalm-Eder district of northern Hesse, Germany, known for its historic half-timbered architecture and picturesque setting in the Schwalm River valley.
-
D.
Ludwigsstadt
Ludwigsstadt is a small town in northern Bavaria, Germany, known for its location in the Franconian Forest near the Thuringian border.
-
E.
Altenstadt
Altenstadt is a small Bavarian municipality in southern Germany, situated within the rural district of Weilheim-Schongau.
- 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: Ilzstadt Triple: [Passau, hasPart, Ilzstadt]
Generated description
Ilzstadt is a historic district of the Bavarian city of Passau, situated picturesquely between the rivers Danube and Ilz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilzstadt Target entity description: Ilzstadt is a historic district of the Bavarian city of Passau, situated picturesquely between the rivers Danube and Ilz.
-
A.
Ebermannstadt
Ebermannstadt is a small historic town in northern Bavaria, Germany, known as a gateway to the scenic Franconian Switzerland region.
-
B.
Maichingen
Maichingen is a district of the city of Sindelfingen in the German state of Baden-Württemberg.
-
C.
Schwalmstadt
Schwalmstadt is a small town in the Schwalm-Eder district of northern Hesse, Germany, known for its historic half-timbered architecture and picturesque setting in the Schwalm River valley.
-
D.
Ludwigsstadt
Ludwigsstadt is a small town in northern Bavaria, Germany, known for its location in the Franconian Forest near the Thuringian border.
-
E.
Altenstadt
Altenstadt is a small Bavarian municipality in southern Germany, situated within the rural district of Weilheim-Schongau.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1e589e081908b12287aa3b05bb6 |
completed | May 11, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_6a01c2c7e32c8190a17307722f5eb50d |
completed | May 11, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c33ec9c0819081f7ab7cd8c0eb42 |
completed | May 11, 2026, 11:53 a.m. |
Created at: April 10, 2026, 5:33 a.m.