Triple
T13649848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ombo |
E326700
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Bandåsen
Bandåsen is the highest peak on the island of Ombo in Norway.
|
E1053881
|
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: Bandåsen | Statement: [Ombo, hasHighestPoint, Bandåsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandåsen Context triple: [Ombo, hasHighestPoint, Bandåsen]
-
A.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
-
B.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
C.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
D.
Namsskogan
Namsskogan is a sparsely populated inland municipality in Trøndelag county, Norway, known for its vast forests, wildlife, and outdoor recreation opportunities.
-
E.
Telegrafberget
Telegrafberget is a prominent hill in the Södertörn region of Sweden, known as its highest natural point and a notable local viewpoint.
- 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: Bandåsen Triple: [Ombo, hasHighestPoint, Bandåsen]
Generated description
Bandåsen is the highest peak on the island of Ombo in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bandåsen Target entity description: Bandåsen is the highest peak on the island of Ombo in Norway.
-
A.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
-
B.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
C.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
D.
Namsskogan
Namsskogan is a sparsely populated inland municipality in Trøndelag county, Norway, known for its vast forests, wildlife, and outdoor recreation opportunities.
-
E.
Telegrafberget
Telegrafberget is a prominent hill in the Södertörn region of Sweden, known as its highest natural point and a notable local viewpoint.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc608466c81908f6d2c9c92cc86aa |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78afbf8948190ad38ea7529e52f16 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd52b748190ab483ec7634a6549 |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d277c5c8190970cb3cd0fd32905 |
completed | May 3, 2026, 6 p.m. |
Created at: April 9, 2026, 9:52 p.m.