Triple
T22611650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lørenskog municipality |
E566718
|
entity |
| Predicate | hasIndoorSkiArena |
P148932
|
FINISHED |
| Object | SNØ |
—
|
NE NERFINISHED |
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: SNØ | Statement: [Lørenskog municipality, hasIndoorSkiArena, SNØ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNØ Context triple: [Lørenskog municipality, hasIndoorSkiArena, SNØ]
-
A.
Snoge
Snoge is the historic 17th-century Portuguese-Israelite synagogue in Amsterdam, renowned as one of the oldest and best-preserved Sephardic synagogues in Europe.
-
B.
Sno
Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
-
C.
Snowdown
Snowdown is a former coal mining village in the Kent coalfield of southeast England, historically centered around Snowdown Colliery and its mining community.
-
D.
SK Snøgg
SK Snøgg is a Norwegian sports club best known for its football team, which has featured prominent players such as Hege Riise.
-
E.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SNØ Target entity description: SNØ is a large indoor ski arena in Lørenskog, Norway, offering year-round facilities for alpine skiing, snowboarding, and other winter sports.
-
A.
Snoge
Snoge is the historic 17th-century Portuguese-Israelite synagogue in Amsterdam, renowned as one of the oldest and best-preserved Sephardic synagogues in Europe.
-
B.
Sno
Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
-
C.
Snowdown
Snowdown is a former coal mining village in the Kent coalfield of southeast England, historically centered around Snowdown Colliery and its mining community.
-
D.
SK Snøgg
SK Snøgg is a Norwegian sports club best known for its football team, which has featured prominent players such as Hege Riise.
-
E.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorSkiArena Context triple: [Lørenskog municipality, hasIndoorSkiArena, SNØ]
-
A.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
B.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
-
C.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
-
D.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
E.
hasSnowPark
Indicates that a location or facility includes or is equipped with a designated snow park area.
- F. None of above. chosen
Provenance (4 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167eb08c88190bf2380fa8575d2da |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:56 p.m.