Triple
T9714024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmund am Tegernsee |
E235092
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Moosrain
Moosrain is a small locality or district that forms part of the Bavarian municipality of Gmund am Tegernsee in southern Germany.
|
E817023
|
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: Moosrain | Statement: [Gmund am Tegernsee, hasPart, Moosrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moosrain Context triple: [Gmund am Tegernsee, hasPart, Moosrain]
-
A.
Tennenlohe
Tennenlohe is a district of Erlangen in Bavaria, Germany, known for its proximity to research institutions and the Tennenlohe Forest nature reserve.
-
B.
Mount Nivea
Mount Nivea is a prominent mountain peak that forms the highest point in the remote South Orkney Islands of the Southern Ocean.
-
C.
Berghaupten
Berghaupten is a small municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its scenic location in the Black Forest region.
-
D.
Snow Falls
Snow Falls is a scenic waterfall located within Tennessee’s Laurel-Snow State Natural Area, known for its rugged gorge setting and popular hiking access.
-
E.
Mount Annupuri
Mount Annupuri is a prominent volcanic peak in Hokkaido, Japan, best known as the centerpiece of the Niseko ski and outdoor recreation area.
- 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: Moosrain Triple: [Gmund am Tegernsee, hasPart, Moosrain]
Generated description
Moosrain is a small locality or district that forms part of the Bavarian municipality of Gmund am Tegernsee in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moosrain Target entity description: Moosrain is a small locality or district that forms part of the Bavarian municipality of Gmund am Tegernsee in southern Germany.
-
A.
Tennenlohe
Tennenlohe is a district of Erlangen in Bavaria, Germany, known for its proximity to research institutions and the Tennenlohe Forest nature reserve.
-
B.
Mount Nivea
Mount Nivea is a prominent mountain peak that forms the highest point in the remote South Orkney Islands of the Southern Ocean.
-
C.
Berghaupten
Berghaupten is a small municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its scenic location in the Black Forest region.
-
D.
Snow Falls
Snow Falls is a scenic waterfall located within Tennessee’s Laurel-Snow State Natural Area, known for its rugged gorge setting and popular hiking access.
-
E.
Mount Annupuri
Mount Annupuri is a prominent volcanic peak in Hokkaido, Japan, best known as the centerpiece of the Niseko ski and outdoor recreation area.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e087a1c8190aa62c910f88e8516 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f900ca08190a52f042feab2afa3 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a181f10081908bfb0fae5a08462f |
completed | April 4, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a228b8488190a5a61f3468e92649 |
completed | April 4, 2026, 11:43 p.m. |
Created at: March 30, 2026, 8:19 p.m.