Triple
T17088517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebbenesøya |
E414662
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Geittinden
Geittinden is the tallest mountain on the Norwegian island of Rebbenesøya, known as its highest natural point.
|
E1249182
|
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: Geittinden | Statement: [Rebbenesøya, hasHighestPoint, Geittinden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geittinden Context triple: [Rebbenesøya, hasHighestPoint, Geittinden]
-
A.
Geidt
Geidt is the surname of Christopher Geidt, a British civil servant best known for serving as Private Secretary to Queen Elizabeth II.
-
B.
Gjettum
Gjettum is a residential area in the municipality of Bærum in Viken county, Norway, forming part of the greater Oslo suburban region.
-
C.
Geithain
Geithain is a small town in the German state of Saxony, known for its historic center and regional rail connections.
-
D.
Tregerieg
Tregerieg is a regional variety of the Breton language traditionally spoken in the Trégor area of northwestern Brittany, France.
-
E.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
- 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: Geittinden Triple: [Rebbenesøya, hasHighestPoint, Geittinden]
Generated description
Geittinden is the tallest mountain on the Norwegian island of Rebbenesøya, known as its highest natural point.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geittinden Target entity description: Geittinden is the tallest mountain on the Norwegian island of Rebbenesøya, known as its highest natural point.
-
A.
Geidt
Geidt is the surname of Christopher Geidt, a British civil servant best known for serving as Private Secretary to Queen Elizabeth II.
-
B.
Gjettum
Gjettum is a residential area in the municipality of Bærum in Viken county, Norway, forming part of the greater Oslo suburban region.
-
C.
Geithain
Geithain is a small town in the German state of Saxony, known for its historic center and regional rail connections.
-
D.
Tregerieg
Tregerieg is a regional variety of the Breton language traditionally spoken in the Trégor area of northwestern Brittany, France.
-
E.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012ff7788c819086b2e6c0e382014c |
completed | May 11, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130dbe1f8819095b2d36882bf3287 |
completed | May 11, 2026, 1:29 a.m. |
Created at: April 10, 2026, 5:35 a.m.