Triple
T6871262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohe Tauern |
E158550
|
entity |
| Predicate | hasGlacier |
P4580
|
FINISHED |
| Object |
Schlatenkees
Schlatenkees is a prominent valley glacier in the Hohe Tauern range of the Austrian Alps, known for its dramatic ice scenery and accessibility to hikers and mountaineers.
|
E625419
|
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: Schlatenkees | Statement: [Hohe Tauern, hasGlacier, Schlatenkees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlatenkees Context triple: [Hohe Tauern, hasGlacier, Schlatenkees]
-
A.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
B.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
C.
Kamieskroon
Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand region.
-
D.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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: Schlatenkees Triple: [Hohe Tauern, hasGlacier, Schlatenkees]
Generated description
Schlatenkees is a prominent valley glacier in the Hohe Tauern range of the Austrian Alps, known for its dramatic ice scenery and accessibility to hikers and mountaineers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schlatenkees Target entity description: Schlatenkees is a prominent valley glacier in the Hohe Tauern range of the Austrian Alps, known for its dramatic ice scenery and accessibility to hikers and mountaineers.
-
A.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
B.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
C.
Kamieskroon
Kamieskroon is a small town in South Africa’s Northern Cape, known as a gateway to the wildflower displays and rugged landscapes of the Namaqualand region.
-
D.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ac04e08190aa8011c0ade9d509 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742a841548190abd706ea1efd622f |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c743a639f88190a0758194433322bf |
completed | March 28, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7445fbd488190938ec3dd59cbeb2c |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:22 p.m.