Triple
T10628657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Östersund Municipality |
E250390
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Fåker
Fåker is a small village in central Sweden located within Östersund Municipality in Jämtland County.
|
E875721
|
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: Fåker | Statement: [Östersund Municipality, hasSettlement, Fåker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fåker Context triple: [Östersund Municipality, hasSettlement, Fåker]
-
A.
Frogn
Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Flå
Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
-
D.
Fuglesang
Fuglesang is a Norwegian-origin surname most notably borne by Swedish physicist and European Space Agency astronaut Christer Fuglesang.
-
E.
Flørli
Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
- 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: Fåker Triple: [Östersund Municipality, hasSettlement, Fåker]
Generated description
Fåker is a small village in central Sweden located within Östersund Municipality in Jämtland County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fåker Target entity description: Fåker is a small village in central Sweden located within Östersund Municipality in Jämtland County.
-
A.
Frogn
Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Flå
Flå is a small rural municipality in Viken county, Norway, known for its forested landscapes, outdoor recreation, and location in the Hallingdal valley.
-
D.
Fuglesang
Fuglesang is a Norwegian-origin surname most notably borne by Swedish physicist and European Space Agency astronaut Christer Fuglesang.
-
E.
Flørli
Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96babc290819096c0c914d038ba01 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:59 p.m.