Triple
T17620783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillehammer municipality |
E429701
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Fåberg
Fåberg is a village and former municipality in Innlandet county, Norway, situated near Lillehammer in the Gudbrandsdalen valley.
|
E1282121
|
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: Fåberg | Statement: [Lillehammer municipality, hasSettlement, Fåberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fåberg Context triple: [Lillehammer municipality, hasSettlement, Fåberg]
-
A.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
D.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
E.
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.
- 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: Fåberg Triple: [Lillehammer municipality, hasSettlement, Fåberg]
Generated description
Fåberg is a village and former municipality in Innlandet county, Norway, situated near Lillehammer in the Gudbrandsdalen valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fåberg Target entity description: Fåberg is a village and former municipality in Innlandet county, Norway, situated near Lillehammer in the Gudbrandsdalen valley.
-
A.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
B.
Finnås
Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
-
C.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
D.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
E.
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.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d36074481909ee79e238841edf2 |
completed | April 19, 2026, 5:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02231678bc8190ada28ebd07d77767 |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a02269e6df08190b32933d799fabea0 |
completed | May 11, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a022705b76481909f77bedfb9d5d30d |
completed | May 11, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:51 a.m.