Triple
T16027205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremanger |
E388745
|
entity |
| Predicate | hasFjord |
P56784
|
FINISHED |
| Object |
Bremangerpollen
Bremangerpollen is a coastal fjord in Vestland county, Norway, known for its sheltered waters and surrounding mountainous island scenery near the village of Bremanger.
|
E1189210
|
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: Bremangerpollen | Statement: [Bremanger, hasFjord, Bremangerpollen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bremangerpollen Context triple: [Bremanger, hasFjord, Bremangerpollen]
-
A.
Holmlia
Holmlia is a residential neighborhood in Oslo, Norway, known for its diverse population and location in the city's southeastern suburbs.
-
B.
Bredemeyera
Bredemeyera is a genus of flowering plants in the milkwort family, known for its mostly tropical species of shrubs and vines.
-
C.
Oestrum
Oestrum is a district or locality within the town of Rheinhausen in Germany.
-
D.
Erbeskopf
Erbeskopf is a prominent mountain in western Germany known for its forested slopes, winter sports facilities, and panoramic observation points.
-
E.
Blüthenstaub
Blüthenstaub is a collection of aphoristic and fragmentary philosophical writings by Novalis that explore themes of poetry, knowledge, and Romantic idealism.
- 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: Bremangerpollen Triple: [Bremanger, hasFjord, Bremangerpollen]
Generated description
Bremangerpollen is a coastal fjord in Vestland county, Norway, known for its sheltered waters and surrounding mountainous island scenery near the village of Bremanger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bremangerpollen Target entity description: Bremangerpollen is a coastal fjord in Vestland county, Norway, known for its sheltered waters and surrounding mountainous island scenery near the village of Bremanger.
-
A.
Holmlia
Holmlia is a residential neighborhood in Oslo, Norway, known for its diverse population and location in the city's southeastern suburbs.
-
B.
Bredemeyera
Bredemeyera is a genus of flowering plants in the milkwort family, known for its mostly tropical species of shrubs and vines.
-
C.
Oestrum
Oestrum is a district or locality within the town of Rheinhausen in Germany.
-
D.
Erbeskopf
Erbeskopf is a prominent mountain in western Germany known for its forested slopes, winter sports facilities, and panoramic observation points.
-
E.
Blüthenstaub
Blüthenstaub is a collection of aphoristic and fragmentary philosophical writings by Novalis that explore themes of poetry, knowledge, and Romantic idealism.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd01d545c8190a96cd888223c7fa9 |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.