Triple
T16991238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjan Hill |
E412197
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Telegrin peak
Telegrin peak is the highest point of Marjan Hill in Split, Croatia, offering panoramic views of the city and the Adriatic Sea.
|
E1245010
|
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: Telegrin peak | Statement: [Marjan Hill, hasLandmark, Telegrin peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telegrin peak Context triple: [Marjan Hill, hasLandmark, Telegrin peak]
-
A.
Cheshnina Peak
Cheshnina Peak is a mountain summit located within Alaska’s Wrangell Mountains range.
-
B.
Kaleetan Peak
Kaleetan Peak is a prominent mountain in Washington State’s Cascade Range, known for its rugged terrain and popular hiking and climbing routes.
-
C.
Truuli Peak
Truuli Peak is the highest mountain in Alaska’s Kenai Mountains, known for its remote, glaciated terrain on the Kenai Peninsula.
-
D.
Thulagi Peak
Thulagi Peak is a prominent mountain in the Nepalese Himalayas, known for its challenging climbing routes and proximity to Manaslu.
-
E.
Hohneck peak
Hohneck peak is one of the highest and most prominent summits in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing areas.
- 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: Telegrin peak Triple: [Marjan Hill, hasLandmark, Telegrin peak]
Generated description
Telegrin peak is the highest point of Marjan Hill in Split, Croatia, offering panoramic views of the city and the Adriatic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telegrin peak Target entity description: Telegrin peak is the highest point of Marjan Hill in Split, Croatia, offering panoramic views of the city and the Adriatic Sea.
-
A.
Cheshnina Peak
Cheshnina Peak is a mountain summit located within Alaska’s Wrangell Mountains range.
-
B.
Kaleetan Peak
Kaleetan Peak is a prominent mountain in Washington State’s Cascade Range, known for its rugged terrain and popular hiking and climbing routes.
-
C.
Truuli Peak
Truuli Peak is the highest mountain in Alaska’s Kenai Mountains, known for its remote, glaciated terrain on the Kenai Peninsula.
-
D.
Thulagi Peak
Thulagi Peak is a prominent mountain in the Nepalese Himalayas, known for its challenging climbing routes and proximity to Manaslu.
-
E.
Hohneck peak
Hohneck peak is one of the highest and most prominent summits in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing areas.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc14d5688190945f7ae72f724922 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c967b0819088e2335fd45d755b |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.