Triple
T12710762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persenbeug-Gottsdorf |
E303710
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gottsdorf
Gottsdorf is a locality that forms part of the market town of Persenbeug-Gottsdorf in Lower Austria.
|
E1075451
|
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: Gottsdorf | Statement: [Persenbeug-Gottsdorf, hasSubdivision, Gottsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gottsdorf Context triple: [Persenbeug-Gottsdorf, hasSubdivision, Gottsdorf]
-
A.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
B.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
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.
Schmargendorf
Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
- 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: Gottsdorf Triple: [Persenbeug-Gottsdorf, hasSubdivision, Gottsdorf]
Generated description
Gottsdorf is a locality that forms part of the market town of Persenbeug-Gottsdorf in Lower Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gottsdorf Target entity description: Gottsdorf is a locality that forms part of the market town of Persenbeug-Gottsdorf in Lower Austria.
-
A.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
B.
Wermsdorf
Wermsdorf is a municipality in Saxony, Germany, best known as the site of the large Baroque hunting lodge and former royal residence Hubertusburg Palace.
-
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.
Schmargendorf
Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc30fba90819096ea71152ed725e1 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc62b8b308190bbf13f8536bf4449 |
completed | May 6, 2026, 10:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc6b13f0481908ba6ff97421c8506 |
completed | May 6, 2026, 10:54 p.m. |
Created at: April 9, 2026, 5:23 p.m.