Triple
T3145049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innlandet |
E65742
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object |
Solør
Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
|
E356564
|
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: Solør | Statement: [Innlandet, containsPart, Solør]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solør Context triple: [Innlandet, containsPart, Solør]
-
A.
Solvang
Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
-
B.
Sokndal
Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
-
C.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
D.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
E.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
- 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: Solør Triple: [Innlandet, containsPart, Solør]
Generated description
Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solør Target entity description: Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
-
A.
Solvang
Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
-
B.
Sokndal
Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
-
C.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
D.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
E.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada595d4548190b720a6131817833b |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354528b00819095fa9b8f28f2135c |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b35585fbd08190966c1263c165daa9 |
completed | March 13, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3566da174819086160cd254e0a443 |
completed | March 13, 2026, 12:12 a.m. |
Created at: March 8, 2026, 3:05 p.m.