Triple
T20050977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meldal |
E499195
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Løkken Verk
Løkken Verk is a historic mining village in Trøndelag county, Norway, known for its former copper mines and industrial heritage.
|
E1408158
|
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: Løkken Verk | Statement: [Meldal, contains, Løkken Verk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Løkken Verk Context triple: [Meldal, contains, Løkken Verk]
-
A.
Frolands Verk
Frolands Verk is a small village in Froland municipality in Agder county, Norway, historically known for its ironworks and industrial heritage.
-
B.
Løkken
Løkken is a Danish seaside town known for its sandy beaches, coastal dunes, and popular summer tourism on the North Sea.
-
C.
Koldinghus
Koldinghus is a historic royal castle and museum in the Danish city of Kolding, known for its dramatic ruin-restoration architecture and cultural exhibitions.
-
D.
Frederiksværk
Frederiksværk is a Danish town in North Zealand known for its historic industrial heritage and location between the Roskilde Fjord and Arresø lake.
-
E.
Flyvestation Karup
Flyvestation Karup is Denmark’s largest air base and a central hub for the Royal Danish Air Force, located near the town of Karup in Jutland.
- 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: Løkken Verk Triple: [Meldal, contains, Løkken Verk]
Generated description
Løkken Verk is a historic mining village in Trøndelag county, Norway, known for its former copper mines and industrial heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Løkken Verk Target entity description: Løkken Verk is a historic mining village in Trøndelag county, Norway, known for its former copper mines and industrial heritage.
-
A.
Frolands Verk
Frolands Verk is a small village in Froland municipality in Agder county, Norway, historically known for its ironworks and industrial heritage.
-
B.
Løkken
Løkken is a Danish seaside town known for its sandy beaches, coastal dunes, and popular summer tourism on the North Sea.
-
C.
Koldinghus
Koldinghus is a historic royal castle and museum in the Danish city of Kolding, known for its dramatic ruin-restoration architecture and cultural exhibitions.
-
D.
Frederiksværk
Frederiksværk is a Danish town in North Zealand known for its historic industrial heritage and location between the Roskilde Fjord and Arresø lake.
-
E.
Flyvestation Karup
Flyvestation Karup is Denmark’s largest air base and a central hub for the Royal Danish Air Force, located near the town of Karup in Jutland.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632d9d888190b0985bb5ed989311 |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081607e4988190838907e8bce1ee3e |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a081691dcfc8190b41040341d99a9c9 |
completed | May 16, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08171724cc81908d6997dbae84ad9e |
completed | May 16, 2026, 7:04 a.m. |
Created at: April 11, 2026, 3:38 p.m.