Triple
T14724546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peine |
E345903
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Stederdorf
Stederdorf is a district of the town of Peine in Lower Saxony, Germany, known for its residential character and proximity to the regional industrial and agricultural areas.
|
E1161209
|
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: Stederdorf | Statement: [Peine, hasSubdivision, Stederdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stederdorf Context triple: [Peine, hasSubdivision, Stederdorf]
-
A.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
B.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
-
C.
Sierksdorf
Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
-
D.
Landersdorf
Landersdorf is a locality within the city of Krems an der Donau in Lower Austria, known as part of its surrounding wine-growing and rural area.
-
E.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
- 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: Stederdorf Triple: [Peine, hasSubdivision, Stederdorf]
Generated description
Stederdorf is a district of the town of Peine in Lower Saxony, Germany, known for its residential character and proximity to the regional industrial and agricultural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stederdorf Target entity description: Stederdorf is a district of the town of Peine in Lower Saxony, Germany, known for its residential character and proximity to the regional industrial and agricultural areas.
-
A.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
B.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
-
C.
Sierksdorf
Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
-
D.
Landersdorf
Landersdorf is a locality within the city of Krems an der Donau in Lower Austria, known as part of its surrounding wine-growing and rural area.
-
E.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36455f788190a63507ecda42b04c |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff3702c1848190b4ae5f80f58af4c0 |
completed | May 9, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff37c1b1e081909662b37eb5a2da1a |
completed | May 9, 2026, 1:33 p.m. |
Created at: April 10, 2026, 1:29 a.m.