Triple
T6871258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohe Tauern |
E158550
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Ankogel
Ankogel is a prominent mountain in the Austrian Alps, known for its glaciated peak and popularity among climbers and ski mountaineers.
|
E625417
|
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: Ankogel | Statement: [Hohe Tauern, hasPeak, Ankogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankogel Context triple: [Hohe Tauern, hasPeak, Ankogel]
-
A.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
B.
Schrankogel
Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
-
C.
Risserkogel
Risserkogel is a prominent mountain peak in the Bavarian Alps of Germany, popular with hikers for its panoramic summit views.
-
D.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
E.
Nadelhorn
Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
- 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: Ankogel Triple: [Hohe Tauern, hasPeak, Ankogel]
Generated description
Ankogel is a prominent mountain in the Austrian Alps, known for its glaciated peak and popularity among climbers and ski mountaineers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ankogel Target entity description: Ankogel is a prominent mountain in the Austrian Alps, known for its glaciated peak and popularity among climbers and ski mountaineers.
-
A.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
B.
Schrankogel
Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
-
C.
Risserkogel
Risserkogel is a prominent mountain peak in the Bavarian Alps of Germany, popular with hikers for its panoramic summit views.
-
D.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
E.
Nadelhorn
Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
- 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.