Triple
T9006739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostallgäu |
E215162
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alpspitz (near Nesselwang)
Alpspitz (near Nesselwang) is a popular mountain and local ski and hiking area in the Bavarian Allgäu region of southern Germany.
|
E770752
|
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: Alpspitz (near Nesselwang) | Statement: [Ostallgäu, contains, Alpspitz (near Nesselwang)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpspitz (near Nesselwang) Context triple: [Ostallgäu, contains, Alpspitz (near Nesselwang)]
-
A.
Pinzgau
Pinzgau is a mountainous region in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional rural culture.
-
B.
Niederalm
Niederalm is a locality within the municipality of Anif in the Austrian state of Salzburg.
-
C.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
D.
Elbigenalp
Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
-
E.
Lech am Arlberg, Austria
Lech am Arlberg, Austria is a renowned Alpine ski resort village known for its upscale winter tourism and challenging slopes in the Arlberg 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: Alpspitz (near Nesselwang) Triple: [Ostallgäu, contains, Alpspitz (near Nesselwang)]
Generated description
Alpspitz (near Nesselwang) is a popular mountain and local ski and hiking area in the Bavarian Allgäu region of southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alpspitz (near Nesselwang) Target entity description: Alpspitz (near Nesselwang) is a popular mountain and local ski and hiking area in the Bavarian Allgäu region of southern Germany.
-
A.
Pinzgau
Pinzgau is a mountainous region in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional rural culture.
-
B.
Niederalm
Niederalm is a locality within the municipality of Anif in the Austrian state of Salzburg.
-
C.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
D.
Elbigenalp
Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
-
E.
Lech am Arlberg, Austria
Lech am Arlberg, Austria is a renowned Alpine ski resort village known for its upscale winter tourism and challenging slopes in the Arlberg 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.