Triple
T5098138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Møre og Romsdal |
E114915
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
romsdaling
A romsdaling is a person from the Romsdal region in Møre og Romsdal county in western Norway.
|
E494786
|
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: romsdaling | Statement: [Møre og Romsdal, hasDemonym, romsdaling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: romsdaling Context triple: [Møre og Romsdal, hasDemonym, romsdaling]
-
A.
Skedsmo
Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
-
B.
Olderdalen
Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
E.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
- 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: romsdaling Triple: [Møre og Romsdal, hasDemonym, romsdaling]
Generated description
A romsdaling is a person from the Romsdal region in Møre og Romsdal county in western Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: romsdaling Target entity description: A romsdaling is a person from the Romsdal region in Møre og Romsdal county in western Norway.
-
A.
Skedsmo
Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
-
B.
Olderdalen
Olderdalen is a small coastal village in northern Norway that serves as the administrative center of Kåfjord Municipality in Troms og Finnmark county.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
E.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7567d21081909227ed8f08b74c71 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8529ec8190bb1e97eb1044c899 |
completed | March 21, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69bebc65f37c819088077a02c5a2939e |
completed | March 21, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebcc8ad2481909ec38247b32dfdb0 |
completed | March 21, 2026, 3:44 p.m. |
Created at: March 20, 2026, 1:40 p.m.