Triple
T10540010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allgäu Alps |
E248669
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hoher Ifen
Hoher Ifen is a distinctive flat-topped mountain in the Allgäu Alps, known for its striking plateau summit and popular hiking and skiing routes.
|
E870961
|
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: Hoher Ifen | Statement: [Allgäu Alps, contains, Hoher Ifen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoher Ifen Context triple: [Allgäu Alps, contains, Hoher Ifen]
-
A.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
-
B.
Mittelhorn
Mittelhorn is a notable secondary summit in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
-
C.
Tennenlohe
Tennenlohe is a district of Erlangen in Bavaria, Germany, known for its proximity to research institutions and the Tennenlohe Forest nature reserve.
-
D.
Mount Wilis
Mount Wilis is a solitary, inactive stratovolcano in East Java, Indonesia, known for its forested slopes and surrounding rural highland communities.
-
E.
Moosrain
Moosrain is a small locality or district that forms part of the Bavarian municipality of Gmund am Tegernsee in southern Germany.
- 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: Hoher Ifen Triple: [Allgäu Alps, contains, Hoher Ifen]
Generated description
Hoher Ifen is a distinctive flat-topped mountain in the Allgäu Alps, known for its striking plateau summit and popular hiking and skiing routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoher Ifen Target entity description: Hoher Ifen is a distinctive flat-topped mountain in the Allgäu Alps, known for its striking plateau summit and popular hiking and skiing routes.
-
A.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
-
B.
Mittelhorn
Mittelhorn is a notable secondary summit in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
-
C.
Tennenlohe
Tennenlohe is a district of Erlangen in Bavaria, Germany, known for its proximity to research institutions and the Tennenlohe Forest nature reserve.
-
D.
Mount Wilis
Mount Wilis is a solitary, inactive stratovolcano in East Java, Indonesia, known for its forested slopes and surrounding rural highland communities.
-
E.
Moosrain
Moosrain is a small locality or district that forms part of the Bavarian municipality of Gmund am Tegernsee in southern Germany.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9341d96c08190a6ba644b9acfe2c8 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d93802a4488190aa86ae209650d4e7 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d938fcc3c48190a4acaaf75c1aa304 |
completed | April 10, 2026, 5:53 p.m. |
Created at: April 6, 2026, 12:32 p.m.