Triple
T9641629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürstenfeldbruck district |
E233084
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Emmering
Emmering is a small municipality in Upper Bavaria, Germany, located in the Fürstenfeldbruck district west of Munich.
|
E811215
|
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: Emmering | Statement: [Fürstenfeldbruck district, contains, Emmering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmering Context triple: [Fürstenfeldbruck district, contains, Emmering]
-
A.
Emmendingen
Emmendingen is a town in southwestern Germany’s Baden-Württemberg state, known for its historic old town and location near Freiburg in the Breisgau region.
-
B.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
D.
Polheim
Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
-
E.
Pfeffingen
Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
- 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: Emmering Triple: [Fürstenfeldbruck district, contains, Emmering]
Generated description
Emmering is a small municipality in Upper Bavaria, Germany, located in the Fürstenfeldbruck district west of Munich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emmering Target entity description: Emmering is a small municipality in Upper Bavaria, Germany, located in the Fürstenfeldbruck district west of Munich.
-
A.
Emmendingen
Emmendingen is a town in southwestern Germany’s Baden-Württemberg state, known for its historic old town and location near Freiburg in the Breisgau region.
-
B.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
D.
Polheim
Polheim was the temporary base camp established by Roald Amundsen’s team at the geographic South Pole during their pioneering 1911 Antarctic expedition.
-
E.
Pfeffingen
Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1824e68a0819089c8e6e414575c5f |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d182fe6854819097b6fe60926c2a48 |
completed | April 4, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1835c916081908e3e1bb1e5499424 |
completed | April 4, 2026, 9:32 p.m. |
Created at: March 30, 2026, 8:12 p.m.