Triple
T8770761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Høvelte Barracks |
E208452
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Høvelte |
E208452
|
NE FINISHED |
How this triple was built (2 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: Høvelte | Statement: [Høvelte Barracks, locatedIn, Høvelte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Høvelte Context triple: [Høvelte Barracks, locatedIn, Høvelte]
-
A.
Høvelte
chosen
Høvelte is a locality in Denmark known primarily for hosting a major Danish Army military barracks and training area.
-
B.
Hokksund
Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
-
C.
Sundvollen
Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
-
D.
Valle-Hovin
Valle-Hovin is a residential and recreational neighborhood in Oslo, Norway, known for its sports facilities and event venues.
-
E.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2b08f881909f3d4fab2eda1d67 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51b7d05c8190b84e02a8796d3422 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:41 p.m.