Triple
T15332059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stad |
E366558
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ervik
Ervik is a small coastal village in Vestland county, Norway, known for its dramatic oceanfront setting and proximity to the Stad peninsula.
|
E1149869
|
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: Ervik | Statement: [Stad, contains, Ervik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ervik Context triple: [Stad, contains, Ervik]
-
A.
Håkvik
Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
-
B.
Gressvik
Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
-
C.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
- 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: Ervik Triple: [Stad, contains, Ervik]
Generated description
Ervik is a small coastal village in Vestland county, Norway, known for its dramatic oceanfront setting and proximity to the Stad peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ervik Target entity description: Ervik is a small coastal village in Vestland county, Norway, known for its dramatic oceanfront setting and proximity to the Stad peninsula.
-
A.
Håkvik
Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
-
B.
Gressvik
Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
-
C.
Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
-
D.
Kvikne
Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
E.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b2ea5c8190b6e5f3fcbd7c265f |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa54397c81909c9bfb8c0553b3d1 |
completed | May 9, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefb04d7e4819084ac10e05dccb3e3 |
completed | May 9, 2026, 9:14 a.m. |
Created at: April 10, 2026, 3:17 a.m.