Triple
T14002009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boknafjorden |
E336848
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object |
Høgsfjorden
Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
|
E1131424
|
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: Høgsfjorden | Statement: [Boknafjorden, hasInflow, Høgsfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Høgsfjorden Context triple: [Boknafjorden, hasInflow, Høgsfjorden]
-
A.
Topdalsfjorden
Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
-
B.
Hjeltefjorden
Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
-
C.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
D.
Flekkefjord
Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
-
E.
Bunnefjorden
Bunnefjorden is a southern arm of the Oslofjord in southeastern Norway, known for its sheltered waters and coastal settlements.
- 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: Høgsfjorden Triple: [Boknafjorden, hasInflow, Høgsfjorden]
Generated description
Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Høgsfjorden Target entity description: Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
-
A.
Topdalsfjorden
Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
-
B.
Hjeltefjorden
Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
-
C.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
D.
Flekkefjord
Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
-
E.
Bunnefjorden
Bunnefjorden is a southern arm of the Oslofjord in southeastern Norway, known for its sheltered waters and coastal settlements.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967cea3c81909d9b600501897a41 |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe978c4e34819096ae7e486a517a66 |
completed | May 9, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe97f01e4881908380b8796d016c25 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 9, 2026, 10:19 p.m.