Triple
T16027188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremanger |
E388745
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ålfoten
Ålfoten is a small village in Bremanger Municipality in Vestland county, western Norway, known for its fjord-side setting and surrounding mountainous landscape.
|
E1189205
|
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: Ålfoten | Statement: [Bremanger, hasSettlement, Ålfoten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ålfoten Context triple: [Bremanger, hasSettlement, Ålfoten]
-
A.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
B.
Årdalstangen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
-
C.
Tallkrogen
Tallkrogen is a residential district in southern Stockholm, Sweden, known for its small-scale housing and garden-city character.
-
D.
Skarvehøi
Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
-
E.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
- 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: Ålfoten Triple: [Bremanger, hasSettlement, Ålfoten]
Generated description
Ålfoten is a small village in Bremanger Municipality in Vestland county, western Norway, known for its fjord-side setting and surrounding mountainous landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ålfoten Target entity description: Ålfoten is a small village in Bremanger Municipality in Vestland county, western Norway, known for its fjord-side setting and surrounding mountainous landscape.
-
A.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
B.
Årdalstangen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
-
C.
Tallkrogen
Tallkrogen is a residential district in southern Stockholm, Sweden, known for its small-scale housing and garden-city character.
-
D.
Skarvehøi
Skarvehøi is a mountain located in Lesja municipality in Innlandet county, Norway, known for its alpine terrain and scenic hiking opportunities.
-
E.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
- 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.