Triple
T17351354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogel cable car |
E421818
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Vogel mountain |
—
|
NE ONDG |
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: Vogel mountain | Statement: [Vogel cable car, locatedOn, Vogel mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vogel mountain Context triple: [Vogel cable car, locatedOn, Vogel mountain]
-
A.
Volujak Mountain
Volujak Mountain is a prominent peak in the Dinaric Alps on the border of Bosnia and Herzegovina and Montenegro, known for its rugged terrain and scenic alpine landscapes.
-
B.
Hoven mountain
Hoven mountain is a scenic peak on the island of Gimsøya in Norway’s Lofoten archipelago, known for its panoramic coastal views and accessible hiking trails.
-
C.
Hoven mountain
Hoven mountain is a scenic peak in western Norway known for its panoramic views over the Loen valley and easy access via the Loen Skylift cable car.
-
D.
Elephant Mountain
Elephant Mountain is a popular hiking spot in Taipei known for its short trail and panoramic views of the city skyline and Taipei 101.
-
E.
Sakvelo Mountain
Sakvelo Mountain is a notable peak located within Georgia’s Borjomi-Kharagauli National Park, known for its scenic forested landscapes and hiking opportunities.
- 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: Vogel mountain Triple: [Vogel cable car, locatedOn, Vogel mountain]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vogel mountain Target entity description: Vogel mountain is a popular alpine peak and ski resort area in Slovenia’s Julian Alps, overlooking Lake Bohinj and accessible by the Vogel cable car.
-
A.
Volujak Mountain
Volujak Mountain is a prominent peak in the Dinaric Alps on the border of Bosnia and Herzegovina and Montenegro, known for its rugged terrain and scenic alpine landscapes.
-
B.
Hoven mountain
Hoven mountain is a scenic peak on the island of Gimsøya in Norway’s Lofoten archipelago, known for its panoramic coastal views and accessible hiking trails.
-
C.
Hoven mountain
Hoven mountain is a scenic peak in western Norway known for its panoramic views over the Loen valley and easy access via the Loen Skylift cable car.
-
D.
Elephant Mountain
Elephant Mountain is a popular hiking spot in Taipei known for its short trail and panoramic views of the city skyline and Taipei 101.
-
E.
Sakvelo Mountain
Sakvelo Mountain is a notable peak located within Georgia’s Borjomi-Kharagauli National Park, known for its scenic forested landscapes and hiking opportunities.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2ca0708190aae8306ec3a6f2a7 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195585e5881909b0ad386b65112ba |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a0195c365348190bc5ae9d39094e6f3 |
in_progress | May 11, 2026, 8:39 a.m. |
Created at: April 10, 2026, 5:44 a.m.