Triple
T20288319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zillertal Alps |
E509948
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Turnerkamp
Turnerkamp is a prominent mountain peak in the Zillertal Alps on the border between Austria and Italy, popular with experienced alpine climbers.
|
E1422349
|
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: Turnerkamp | Statement: [Zillertal Alps, hasPeak, Turnerkamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turnerkamp Context triple: [Zillertal Alps, hasPeak, Turnerkamp]
-
A.
Dahlkemper
Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
-
B.
Ziethe
Ziethe is a small river in Saxony-Anhalt, Germany, that flows through the town of Köthen and forms part of the local drainage system.
-
C.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
D.
Holterberg
Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
-
E.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
- 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: Turnerkamp Triple: [Zillertal Alps, hasPeak, Turnerkamp]
Generated description
Turnerkamp is a prominent mountain peak in the Zillertal Alps on the border between Austria and Italy, popular with experienced alpine climbers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turnerkamp Target entity description: Turnerkamp is a prominent mountain peak in the Zillertal Alps on the border between Austria and Italy, popular with experienced alpine climbers.
-
A.
Dahlkemper
Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
-
B.
Ziethe
Ziethe is a small river in Saxony-Anhalt, Germany, that flows through the town of Köthen and forms part of the local drainage system.
-
C.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
D.
Holterberg
Holterberg is a prominent hilly nature area in the Netherlands known for its heathlands, forests, and hiking and cycling trails within the Sallandse Heuvelrug National Park.
-
E.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6769414488190b38e07fd1e989aba |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a2bbcc8819092432b45bebafde6 |
completed | May 16, 2026, 11:51 a.m. |
| NEDg | Description generation | batch_6a085ac5b5f4819083c4d12e9cabc758 |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085bc0781c81909fc53a83291badc0 |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 16, 2026, 11:09 a.m.