Triple
T7462568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monitor ERP Arena |
E176286
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Gavlerinken
Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
|
E666344
|
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: Gavlerinken | Statement: [Monitor ERP Arena, formerName, Gavlerinken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavlerinken Context triple: [Monitor ERP Arena, formerName, Gavlerinken]
-
A.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
B.
Krokstadøra
Krokstadøra is a small village in Trøndelag county, Norway, situated along the Orkla River and serving as a local community center within the municipality.
-
C.
Gärdet
Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
-
D.
Byviksfortet
Byviksfortet is a coastal fortification on the island of Rindö in the Stockholm archipelago, historically part of Sweden’s naval defenses.
-
E.
Lødingen
Lødingen is a coastal municipality in Nordland county, Norway, located on the island of Hinnøya and known for its fishing, maritime activities, and scenic fjord landscape.
- 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: Gavlerinken Triple: [Monitor ERP Arena, formerName, Gavlerinken]
Generated description
Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gavlerinken Target entity description: Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
-
A.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
B.
Krokstadøra
Krokstadøra is a small village in Trøndelag county, Norway, situated along the Orkla River and serving as a local community center within the municipality.
-
C.
Gärdet
Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
-
D.
Byviksfortet
Byviksfortet is a coastal fortification on the island of Rindö in the Stockholm archipelago, historically part of Sweden’s naval defenses.
-
E.
Lødingen
Lødingen is a coastal municipality in Nordland county, Norway, located on the island of Hinnøya and known for its fishing, maritime activities, and scenic fjord landscape.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83464fc48819086f206f4d6b840ab |
completed | March 28, 2026, 8:04 p.m. |
| NEDg | Description generation | batch_69c8355f75908190ae3716f9dbff27ef |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83621b32c8190bd4b289b5f9f1764 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:39 p.m.