Triple
T23107988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågsbygd |
E576229
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Voiebyen
Voiebyen is a residential neighborhood in the Vågsbygd borough of Kristiansand, Norway.
|
E1571981
|
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: Voiebyen | Statement: [Vågsbygd, hasNeighbourhood, Voiebyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voiebyen Context triple: [Vågsbygd, hasNeighbourhood, Voiebyen]
-
A.
Vårby
Vårby is a suburban district in the southern Stockholm area of Sweden, known for its residential neighborhoods and proximity to Lake Mälaren.
-
B.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
C.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
D.
Teigebyen
Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
-
E.
Viby
Viby is a residential district and locality within the suburban municipality of Sollentuna in the Stockholm region of Sweden.
- 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: Voiebyen Triple: [Vågsbygd, hasNeighbourhood, Voiebyen]
Generated description
Voiebyen is a residential neighborhood in the Vågsbygd borough of Kristiansand, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voiebyen Target entity description: Voiebyen is a residential neighborhood in the Vågsbygd borough of Kristiansand, Norway.
-
A.
Vårby
Vårby is a suburban district in the southern Stockholm area of Sweden, known for its residential neighborhoods and proximity to Lake Mälaren.
-
B.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
C.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
D.
Teigebyen
Teigebyen is a village in Viken county, Norway, serving as the main local hub for municipal services and community life in Nannestad.
-
E.
Viby
Viby is a residential district and locality within the suburban municipality of Sollentuna in the Stockholm region of Sweden.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0c7b9c8190b1160485eae87c9b |
completed | April 29, 2026, 4:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23e7fdec8190a7ac3e8f18e677d8 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:58 p.m.