Triple
T6870168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garching |
E158519
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Zirndorf
Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
|
E653175
|
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: Zirndorf | Statement: [Garching, hasTwinTown, Zirndorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zirndorf Context triple: [Garching, hasTwinTown, Zirndorf]
-
A.
Jägerndorf
Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
-
B.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
C.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
-
D.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
E.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
- 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: Zirndorf Triple: [Garching, hasTwinTown, Zirndorf]
Generated description
Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zirndorf Target entity description: Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
-
A.
Jägerndorf
Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
-
B.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
C.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
-
D.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
E.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8aa47f48190bc7cad3cc652f530 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7dafa68dc8190bc46ba9695a41b4c |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dc1469e08190a0b2b924884885e6 |
completed | March 28, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dca05ad081908e2036ba6c909c09 |
completed | March 28, 2026, 1:50 p.m. |
Created at: March 27, 2026, 2:22 p.m.