Triple
T14002011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boknafjorden |
E336848
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object |
Åmøyfjorden
Åmøyfjorden is a Norwegian fjord near Stavanger, known as one of the smaller arms connected to the larger Boknafjorden system in Rogaland county.
|
E1152678
|
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: Åmøyfjorden | Statement: [Boknafjorden, hasInflow, Åmøyfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åmøyfjorden Context triple: [Boknafjorden, hasInflow, Åmøyfjorden]
-
A.
Namsenfjorden
Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
-
B.
Romsdalsfjorden
Romsdalsfjorden is a scenic fjord in Møre og Romsdal county, Norway, known for its dramatic landscapes, coastal towns, and role as a key waterway in the Romsdal region.
-
C.
Eidsfjorden
Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
-
D.
Bremnesfjorden
Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
-
E.
Strindfjorden
Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
- 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: Åmøyfjorden Triple: [Boknafjorden, hasInflow, Åmøyfjorden]
Generated description
Åmøyfjorden is a Norwegian fjord near Stavanger, known as one of the smaller arms connected to the larger Boknafjorden system in Rogaland county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åmøyfjorden Target entity description: Åmøyfjorden is a Norwegian fjord near Stavanger, known as one of the smaller arms connected to the larger Boknafjorden system in Rogaland county.
-
A.
Namsenfjorden
Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
-
B.
Romsdalsfjorden
Romsdalsfjorden is a scenic fjord in Møre og Romsdal county, Norway, known for its dramatic landscapes, coastal towns, and role as a key waterway in the Romsdal region.
-
C.
Eidsfjorden
Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
-
D.
Bremnesfjorden
Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
-
E.
Strindfjorden
Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
- 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_69ff0b3017808190a44087056ba6a472 |
completed | May 9, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69ff0bb903f881909619cece7def68e4 |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c81636c81909536e69b48c5c400 |
completed | May 9, 2026, 10:29 a.m. |
Created at: April 9, 2026, 10:19 p.m.