Triple
T19036223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindesnes municipality |
E465878
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Øyslebø
Øyslebø is a small village in Southern Norway located within Lindesnes municipality in Agder county.
|
E1371725
|
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: Øyslebø | Statement: [Lindesnes municipality, hasSettlement, Øyslebø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Øyslebø Context triple: [Lindesnes municipality, hasSettlement, Øyslebø]
-
A.
Husøy
Husøy is a small fishing village located on an island off the coast of Senja in northern Norway, known for its dramatic coastal scenery and tightly clustered houses.
-
B.
Brønnøy
Brønnøy is a coastal municipality in Nordland county, Norway, known for its fishing communities and the distinctive Torghatten mountain with a natural hole through it.
-
C.
Ekkerøy
Ekkerøy is a small coastal village and former island in northern Norway known for its rich birdlife, sandy beaches, and preserved fishing heritage.
-
D.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
E.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
- 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: Øyslebø Triple: [Lindesnes municipality, hasSettlement, Øyslebø]
Generated description
Øyslebø is a small village in Southern Norway located within Lindesnes municipality in Agder county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Øyslebø Target entity description: Øyslebø is a small village in Southern Norway located within Lindesnes municipality in Agder county.
-
A.
Husøy
Husøy is a small fishing village located on an island off the coast of Senja in northern Norway, known for its dramatic coastal scenery and tightly clustered houses.
-
B.
Brønnøy
Brønnøy is a coastal municipality in Nordland county, Norway, known for its fishing communities and the distinctive Torghatten mountain with a natural hole through it.
-
C.
Ekkerøy
Ekkerøy is a small coastal village and former island in northern Norway known for its rich birdlife, sandy beaches, and preserved fishing heritage.
-
D.
Ottosdal
Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
-
E.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7438f748190912c28912e6b97a6 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723f372908190a8cb204e1bbe910c |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07257b21dc81908be073c286c3d3cb |
completed | May 15, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07268dfaf88190ae8f93dbdbccdb5d |
completed | May 15, 2026, 1:58 p.m. |
Created at: April 10, 2026, 12:02 p.m.