Triple
T4843400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss, Norway |
E108229
|
entity |
| Predicate | hasFerryConnectionTo |
P1831
|
FINISHED |
| Object |
Horten, Norway
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
|
E473715
|
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: Horten, Norway | Statement: [Moss, Norway, hasFerryConnectionTo, Horten, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horten, Norway Context triple: [Moss, Norway, hasFerryConnectionTo, Horten, Norway]
-
A.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
-
B.
Hamar, Norway
Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
-
C.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
D.
Kongsberg
Kongsberg is a Norwegian town known for its historic silver mines and its modern high-tech and defense industries.
-
E.
Lysaker, Norway
Lysaker, Norway is a suburban area in Bærum just west of Oslo, known as a residential and commercial hub and historically associated with notable figures such as explorer Fridtjof Nansen.
- 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: Horten, Norway Triple: [Moss, Norway, hasFerryConnectionTo, Horten, Norway]
Generated description
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Horten, Norway Target entity description: Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
-
A.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
-
B.
Hamar, Norway
Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
-
C.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
D.
Kongsberg
Kongsberg is a Norwegian town known for its historic silver mines and its modern high-tech and defense industries.
-
E.
Lysaker, Norway
Lysaker, Norway is a suburban area in Bærum just west of Oslo, known as a residential and commercial hub and historically associated with notable figures such as explorer Fridtjof Nansen.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cff1b008190b537feea0e0cc88f |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ccdf7a081909624f5cff787e688 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5dbb7abc819096f55477cab2d408 |
completed | March 21, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5e8540688190a6e475e128d79d2b |
completed | March 21, 2026, 9:01 a.m. |
Created at: March 20, 2026, 1:25 p.m.