Triple
T5729765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Intelligence Service |
E126351
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Lutvann
Lutvann is a lake and surrounding area in Oslo, Norway, known for hosting key military and intelligence facilities.
|
E540492
|
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: Lutvann | Statement: [Norwegian Intelligence Service, headquartersLocation, Lutvann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutvann Context triple: [Norwegian Intelligence Service, headquartersLocation, Lutvann]
-
A.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
B.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
-
C.
Lustrafjord
Lustrafjord is a scenic inner branch of Norway’s Sognefjord, known for its dramatic mountains, clear waters, and picturesque villages.
-
D.
Svartån
Svartån is a river in central Sweden that flows through Örebro County, including the city of Örebro, before eventually joining larger water systems leading toward Lake Mälaren.
-
E.
Norsjø
Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
- 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: Lutvann Triple: [Norwegian Intelligence Service, headquartersLocation, Lutvann]
Generated description
Lutvann is a lake and surrounding area in Oslo, Norway, known for hosting key military and intelligence facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lutvann Target entity description: Lutvann is a lake and surrounding area in Oslo, Norway, known for hosting key military and intelligence facilities.
-
A.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
-
B.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
-
C.
Lustrafjord
Lustrafjord is a scenic inner branch of Norway’s Sognefjord, known for its dramatic mountains, clear waters, and picturesque villages.
-
D.
Svartån
Svartån is a river in central Sweden that flows through Örebro County, including the city of Örebro, before eventually joining larger water systems leading toward Lake Mälaren.
-
E.
Norsjø
Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8cca748190b471c842fd2ce218 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:47 p.m.