Triple
T14379247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennesøy |
E356556
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Rennesøyhodnet
Rennesøyhodnet is the prominent hill that forms the highest natural point on the island of Rennesøy in Rogaland county, Norway.
|
E1100073
|
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: Rennesøyhodnet | Statement: [Rennesøy, hasHighestPoint, Rennesøyhodnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rennesøyhodnet Context triple: [Rennesøy, hasHighestPoint, Rennesøyhodnet]
-
A.
Nesoddtangen
Nesoddtangen is a village and administrative center in Nesodden municipality in Viken county, Norway, located on a peninsula directly across the Oslofjord from central Oslo.
-
B.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
C.
Bispevika
Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
-
D.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
-
E.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
- 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: Rennesøyhodnet Triple: [Rennesøy, hasHighestPoint, Rennesøyhodnet]
Generated description
Rennesøyhodnet is the prominent hill that forms the highest natural point on the island of Rennesøy in Rogaland county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rennesøyhodnet Target entity description: Rennesøyhodnet is the prominent hill that forms the highest natural point on the island of Rennesøy in Rogaland county, Norway.
-
A.
Nesoddtangen
Nesoddtangen is a village and administrative center in Nesodden municipality in Viken county, Norway, located on a peninsula directly across the Oslofjord from central Oslo.
-
B.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
C.
Bispevika
Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
-
D.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
-
E.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc0c9708190b5025e9675e0e925 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5f8398b88190bf628e71d3db47d8 |
completed | May 8, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6004aac08190b8cd58fdb8fe5344 |
completed | May 8, 2026, 4:01 a.m. |
Created at: April 10, 2026, 1:16 a.m.