Triple
T14772035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosenheim Technical University of Applied Sciences |
E347157
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TH Rosenheim
TH Rosenheim is a German university of applied sciences known for its practice-oriented engineering, business, design, and health programs.
|
E1118303
|
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: TH Rosenheim | Statement: [Rosenheim Technical University of Applied Sciences, shortName, TH Rosenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TH Rosenheim Context triple: [Rosenheim Technical University of Applied Sciences, shortName, TH Rosenheim]
-
A.
Roeser
Roeser is a commune and small town in southern Luxembourg, situated just south of Luxembourg City in the country’s Minett region.
-
B.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
C.
Rosen
Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
-
D.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Neuer Platz
Neuer Platz is the central main square of Klagenfurt, Austria, known for its historic buildings and prominent Lindwurm (dragon) fountain.
- 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: TH Rosenheim Triple: [Rosenheim Technical University of Applied Sciences, shortName, TH Rosenheim]
Generated description
TH Rosenheim is a German university of applied sciences known for its practice-oriented engineering, business, design, and health programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TH Rosenheim Target entity description: TH Rosenheim is a German university of applied sciences known for its practice-oriented engineering, business, design, and health programs.
-
A.
Roeser
Roeser is a commune and small town in southern Luxembourg, situated just south of Luxembourg City in the country’s Minett region.
-
B.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
C.
Rosen
Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
-
D.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Neuer Platz
Neuer Platz is the central main square of Klagenfurt, Austria, known for its historic buildings and prominent Lindwurm (dragon) fountain.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfabdfc8190ae7ee06b11f9b540 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1344428081908948ad757ffec451 |
completed | May 8, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe142e5030819081bfe87d5d7b6581 |
completed | May 8, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:31 a.m.