Triple
T10540004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allgäu Alps |
E248669
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mädelegabel
Mädelegabel is a prominent tri-peaked mountain in the Allgäu Alps on the Germany–Austria border, popular with climbers and hikers for its rugged terrain and alpine scenery.
|
E870958
|
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: Mädelegabel | Statement: [Allgäu Alps, contains, Mädelegabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mädelegabel Context triple: [Allgäu Alps, contains, Mädelegabel]
-
A.
De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
-
B.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
C.
Zebidah
Zebidah is a woman mentioned in the Hebrew Bible as the mother of King Jehoiakim of Judah.
-
D.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
E.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the 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: Mädelegabel Triple: [Allgäu Alps, contains, Mädelegabel]
Generated description
Mädelegabel is a prominent tri-peaked mountain in the Allgäu Alps on the Germany–Austria border, popular with climbers and hikers for its rugged terrain and alpine scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mädelegabel Target entity description: Mädelegabel is a prominent tri-peaked mountain in the Allgäu Alps on the Germany–Austria border, popular with climbers and hikers for its rugged terrain and alpine scenery.
-
A.
De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
-
B.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
C.
Zebidah
Zebidah is a woman mentioned in the Hebrew Bible as the mother of King Jehoiakim of Judah.
-
D.
Gasselte
Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
-
E.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the 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_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.