Triple
T10540003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allgäu Alps |
E248669
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hochvogel
Hochvogel is a prominent 2,592-meter-high peak in the Allgäu Alps on the border between Germany and Austria, known for its striking pyramid shape and popular alpine climbing routes.
|
E870957
|
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: Hochvogel | Statement: [Allgäu Alps, contains, Hochvogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochvogel Context triple: [Allgäu Alps, contains, Hochvogel]
-
A.
Ochsenkopf
Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
-
B.
Vogelmann
Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
-
C.
Hornschuch
Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
-
D.
Fuhlenbrock
Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
-
E.
Obergerlafingen
Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
- 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: Hochvogel Triple: [Allgäu Alps, contains, Hochvogel]
Generated description
Hochvogel is a prominent 2,592-meter-high peak in the Allgäu Alps on the border between Germany and Austria, known for its striking pyramid shape and popular alpine climbing routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochvogel Target entity description: Hochvogel is a prominent 2,592-meter-high peak in the Allgäu Alps on the border between Germany and Austria, known for its striking pyramid shape and popular alpine climbing routes.
-
A.
Ochsenkopf
Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
-
B.
Vogelmann
Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
-
C.
Hornschuch
Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
-
D.
Fuhlenbrock
Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
-
E.
Obergerlafingen
Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
- 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.