Triple
T17731990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsos Airport, Høknesøra |
E442608
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Høknesøra
Høknesøra is a locality in Namsos, Norway, known for hosting Namsos Airport and serving as part of the town’s suburban area.
|
E1364383
|
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: Høknesøra | Statement: [Namsos Airport, Høknesøra, locatedOn, Høknesøra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Høknesøra Context triple: [Namsos Airport, Høknesøra, locatedOn, Høknesøra]
-
A.
Hemnessjøen
Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
-
B.
Hurdalssjøen
Hurdalssjøen is a large freshwater lake in eastern Norway, known for its scenic surroundings and recreational activities such as swimming, fishing, and boating.
-
C.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
D.
Sandnessjøen
Sandnessjøen is a coastal town in northern Norway known as a regional hub for the Helgeland area, with strong ties to maritime industries and access to the surrounding archipelago and mountains.
-
E.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
- 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: Høknesøra Triple: [Namsos Airport, Høknesøra, locatedOn, Høknesøra]
Generated description
Høknesøra is a locality in Namsos, Norway, known for hosting Namsos Airport and serving as part of the town’s suburban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Høknesøra Target entity description: Høknesøra is a locality in Namsos, Norway, known for hosting Namsos Airport and serving as part of the town’s suburban area.
-
A.
Hemnessjøen
Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
-
B.
Hurdalssjøen
Hurdalssjøen is a large freshwater lake in eastern Norway, known for its scenic surroundings and recreational activities such as swimming, fishing, and boating.
-
C.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
D.
Sandnessjøen
Sandnessjøen is a coastal town in northern Norway known as a regional hub for the Helgeland area, with strong ties to maritime industries and access to the surrounding archipelago and mountains.
-
E.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e7773081909dadb90ff5cb0906 |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700c341c08190962c16d616a6e31a |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a0701325a28819090367843e04f2f3f |
completed | May 15, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0701d18c5c819091427fc872dd18cb |
completed | May 15, 2026, 11:21 a.m. |
Created at: April 10, 2026, 10:08 a.m.