Triple
T15878187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magerøya |
E385002
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Gråtinden
Gråtinden is a mountain peak that forms the highest point on the island of Magerøya in northern Norway.
|
E1181686
|
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: Gråtinden | Statement: [Magerøya, hasHighestPoint, Gråtinden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gråtinden Context triple: [Magerøya, hasHighestPoint, Gråtinden]
-
A.
Svarttinden
Svarttinden is a mountain peak that forms the highest point on the island of Gimsøya in Norway’s Lofoten archipelago.
-
B.
Svampen
Svampen is a distinctive mushroom-shaped concrete canopy and popular meeting point located in Stockholm’s Stureplan square.
-
C.
Blåränderna
Blåränderna is a popular nickname for Djurgårdens IF, referring to the Swedish sports club’s iconic blue-striped team colors.
-
D.
Fruängen
Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
-
E.
Grødem
Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
- 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: Gråtinden Triple: [Magerøya, hasHighestPoint, Gråtinden]
Generated description
Gråtinden is a mountain peak that forms the highest point on the island of Magerøya in northern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gråtinden Target entity description: Gråtinden is a mountain peak that forms the highest point on the island of Magerøya in northern Norway.
-
A.
Svarttinden
Svarttinden is a mountain peak that forms the highest point on the island of Gimsøya in Norway’s Lofoten archipelago.
-
B.
Svampen
Svampen is a distinctive mushroom-shaped concrete canopy and popular meeting point located in Stockholm’s Stureplan square.
-
C.
Blåränderna
Blåränderna is a popular nickname for Djurgårdens IF, referring to the Swedish sports club’s iconic blue-striped team colors.
-
D.
Fruängen
Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
-
E.
Grødem
Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffab1d8f0881908ead340c4b913a76 |
completed | May 9, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab8c79588190adf87fcec328985a |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:51 a.m.