Triple
T8172239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tjøme |
E190849
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Hvasser
Hvasser is a coastal island in Vestfold og Telemark, Norway, known for its fishing villages, beaches, and role as a popular summer holiday destination.
|
E716114
|
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: Hvasser | Statement: [Tjøme, hasIsland, Hvasser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hvasser Context triple: [Tjøme, hasIsland, Hvasser]
-
A.
Vedder
Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
-
B.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
-
C.
Eemnes
Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
-
D.
Hadsel
Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
-
E.
Tejn
Tejn is a small coastal town and fishing port on the Danish island of Bornholm in the Baltic Sea.
- 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: Hvasser Triple: [Tjøme, hasIsland, Hvasser]
Generated description
Hvasser is a coastal island in Vestfold og Telemark, Norway, known for its fishing villages, beaches, and role as a popular summer holiday destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hvasser Target entity description: Hvasser is a coastal island in Vestfold og Telemark, Norway, known for its fishing villages, beaches, and role as a popular summer holiday destination.
-
A.
Vedder
Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
-
B.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
-
C.
Eemnes
Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
-
D.
Hadsel
Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
-
E.
Tejn
Tejn is a small coastal town and fishing port on the Danish island of Bornholm in the Baltic Sea.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4807c9808190ad91a9c688a4c7fd |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf65ed508190abb60f9189f43e5c |
completed | April 1, 2026, 6:47 a.m. |
| NEDg | Description generation | batch_69ccc312a8608190b899394752ef375f |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd84893488190ae5376524650d5c4 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.