Triple
T13065584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryfylke |
E329313
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object |
Hylsfjorden
Hylsfjorden is a narrow, scenic fjord in Rogaland county in southwestern Norway, known as part of the Ryfylke fjord system.
|
E1025896
|
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: Hylsfjorden | Statement: [Ryfylke, hasBodyOfWater, Hylsfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hylsfjorden Context triple: [Ryfylke, hasBodyOfWater, Hylsfjorden]
-
A.
Horgefjorden
Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
-
B.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
-
C.
Hvalseyfjorden
Hvalseyfjorden is a fjord in southern Greenland known for its association with the nearby Norse settlement of Hvalsey and its historic church ruins.
-
D.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
-
E.
Bjørnafjorden
Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
- 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: Hylsfjorden Triple: [Ryfylke, hasBodyOfWater, Hylsfjorden]
Generated description
Hylsfjorden is a narrow, scenic fjord in Rogaland county in southwestern Norway, known as part of the Ryfylke fjord system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hylsfjorden Target entity description: Hylsfjorden is a narrow, scenic fjord in Rogaland county in southwestern Norway, known as part of the Ryfylke fjord system.
-
A.
Horgefjorden
Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
-
B.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
-
C.
Hvalseyfjorden
Hvalseyfjorden is a fjord in southern Greenland known for its association with the nearby Norse settlement of Hvalsey and its historic church ruins.
-
D.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
-
E.
Bjørnafjorden
Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c771fc8190afb6b0f449c67294 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 8:59 p.m.