Triple
T15751167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rana |
E381846
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Grane
Grane is a municipality in Nordland county, Norway, known for its forests, lakes, and location along the E6 highway in the Helgeland region.
|
E1175945
|
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: Grane | Statement: [Rana, borderedBy, Grane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grane Context triple: [Rana, borderedBy, Grane]
-
A.
Hornnes
Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
-
B.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
C.
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
-
D.
Granavollen
Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
-
E.
Byrkjelo
Byrkjelo is a small village in Vestland county, Norway, known for its scenic valley setting and as a local transport and agricultural hub between major fjord and inland areas.
- 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: Grane Triple: [Rana, borderedBy, Grane]
Generated description
Grane is a municipality in Nordland county, Norway, known for its forests, lakes, and location along the E6 highway in the Helgeland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grane Target entity description: Grane is a municipality in Nordland county, Norway, known for its forests, lakes, and location along the E6 highway in the Helgeland region.
-
A.
Hornnes
Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
-
B.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
C.
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
-
D.
Granavollen
Granavollen is a historic village in Innlandet county, Norway, known for its medieval Sister Churches and role as a cultural and religious center in the Gran area.
-
E.
Byrkjelo
Byrkjelo is a small village in Vestland county, Norway, known for its scenic valley setting and as a local transport and agricultural hub between major fjord and inland areas.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff8b6c44d081908e35ca17b5ce2189 |
completed | May 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8ca1c1f08190aeb6f7421d54c2de |
completed | May 9, 2026, 7:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.