Triple
T1837268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Army |
E41092
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object |
Boden
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
|
E205314
|
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: Boden | Statement: [Swedish Army, garrison, Boden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boden Context triple: [Swedish Army, garrison, Boden]
-
A.
Jordbro
Jordbro is a suburban district in the southern Stockholm region of Sweden, known for its residential areas, industrial zone, and commuter rail connections within Haninge Municipality.
-
B.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
-
C.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
D.
Batu
Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
-
E.
Telde
Telde is a historic city and municipality on the island of Gran Canaria in Spain’s Canary Islands, known for its archaeological sites, old town, and coastal areas.
- 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: Boden Triple: [Swedish Army, garrison, Boden]
Generated description
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boden Target entity description: Boden is a northern Swedish town known for its strategic military significance and large army garrison.
-
A.
Jordbro
Jordbro is a suburban district in the southern Stockholm region of Sweden, known for its residential areas, industrial zone, and commuter rail connections within Haninge Municipality.
-
B.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
-
C.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
D.
Batu
Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
-
E.
Telde
Telde is a historic city and municipality on the island of Gran Canaria in Spain’s Canary Islands, known for its archaeological sites, old town, and coastal areas.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0380a4c81909a2ad0bfd97c884a |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b6dc9481908a83e60aee326bc4 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaef04e88190a88f789a6370bafb |
completed | March 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcb8e053c819082a3d4b36afe35be |
completed | March 8, 2026, 7:18 p.m. |
Created at: March 4, 2026, 7:33 p.m.