Triple
T5707100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongsseteren |
E125810
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Voksenkollen
Voksenkollen is a hilltop area in Oslo, Norway, known for its forested surroundings, recreational trails, and scenic views over the city.
|
E539250
|
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: Voksenkollen | Statement: [Kongsseteren, locatedOn, Voksenkollen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voksenkollen Context triple: [Kongsseteren, locatedOn, Voksenkollen]
-
A.
Vauhallan
Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
D.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
E.
Korku
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
- 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: Voksenkollen Triple: [Kongsseteren, locatedOn, Voksenkollen]
Generated description
Voksenkollen is a hilltop area in Oslo, Norway, known for its forested surroundings, recreational trails, and scenic views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voksenkollen Target entity description: Voksenkollen is a hilltop area in Oslo, Norway, known for its forested surroundings, recreational trails, and scenic views over the city.
-
A.
Vauhallan
Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
D.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
E.
Korku
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a6c17608190a9a808c2c77d937c |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7b57d481909f830a6cf7f59c3e |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c2046c48190a5d100f2dfad8d7b |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.