Triple
T20018109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halsa |
E494775
|
entity |
| Predicate | hasFerryConnectionTo |
P1831
|
FINISHED |
| Object |
Kanestraum
Kanestraum is a small coastal village and ferry port in Møre og Romsdal county, Norway.
|
E1407169
|
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: Kanestraum | Statement: [Halsa, hasFerryConnectionTo, Kanestraum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanestraum Context triple: [Halsa, hasFerryConnectionTo, Kanestraum]
-
A.
Kandergrund
Kandergrund is a small Swiss municipality in the Bernese Oberland region, known for its alpine scenery and location in the Kandertal valley.
-
B.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
C.
Kantelinen
Kantelinen is a Finnish surname most notably borne by composer Tuomas Kantelinen, known for his film and classical music scores.
-
D.
Kaindlkees
Kaindlkees is a glacier located on the slopes of the Wiesbachhorn in the Austrian Alps.
-
E.
Lusta
Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
- 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: Kanestraum Triple: [Halsa, hasFerryConnectionTo, Kanestraum]
Generated description
Kanestraum is a small coastal village and ferry port in Møre og Romsdal county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanestraum Target entity description: Kanestraum is a small coastal village and ferry port in Møre og Romsdal county, Norway.
-
A.
Kandergrund
Kandergrund is a small Swiss municipality in the Bernese Oberland region, known for its alpine scenery and location in the Kandertal valley.
-
B.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
C.
Kantelinen
Kantelinen is a Finnish surname most notably borne by composer Tuomas Kantelinen, known for his film and classical music scores.
-
D.
Kaindlkees
Kaindlkees is a glacier located on the slopes of the Wiesbachhorn in the Austrian Alps.
-
E.
Lusta
Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623d76808190988990a8dc263ef7 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e286230819097e564d028e73ab5 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ef87f08819091b4a76009b1c4ba |
completed | May 16, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f8bb81c819098d39ad6e1642aa8 |
completed | May 16, 2026, 6:32 a.m. |
Created at: April 11, 2026, 3:34 p.m.