Triple
T21703410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohuslän |
E535711
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Båhuslen
Båhuslen is the historical name for Bohuslän, a coastal province in western Sweden known for its rugged archipelago and maritime heritage.
|
E1497401
|
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: Båhuslen | Statement: [Bohuslän, historicalName, Båhuslen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Båhuslen Context triple: [Bohuslän, historicalName, Båhuslen]
-
A.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
B.
Haga Brunnsvik
Haga Brunnsvik is a scenic lakeside area within Stockholm’s Hagaparken, known for its tranquil natural setting and waterfront views.
-
C.
Bålsta
Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
-
D.
Torsbjørka
Torsbjørka is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
-
E.
Elvebakken
Elvebakken is a populated area within Alta Municipality in northern Norway, known as one of the local residential and service centers of the region.
- 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: Båhuslen Triple: [Bohuslän, historicalName, Båhuslen]
Generated description
Båhuslen is the historical name for Bohuslän, a coastal province in western Sweden known for its rugged archipelago and maritime heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Båhuslen Target entity description: Båhuslen is the historical name for Bohuslän, a coastal province in western Sweden known for its rugged archipelago and maritime heritage.
-
A.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
B.
Haga Brunnsvik
Haga Brunnsvik is a scenic lakeside area within Stockholm’s Hagaparken, known for its tranquil natural setting and waterfront views.
-
C.
Bålsta
Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
-
D.
Torsbjørka
Torsbjørka is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
-
E.
Elvebakken
Elvebakken is a populated area within Alta Municipality in northern Norway, known as one of the local residential and service centers of the region.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e2b272481909f1cf29c74f3b61c |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1f2788648190bc48fb4d0a614fd9 |
completed | May 17, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fb328e081908b39b4c85cb23d1e |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:46 p.m.