Triple
T3145531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västra Götaland County |
E65754
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Borås
Borås is a Swedish city known for its textile industry heritage, design and fashion focus, and location in western Sweden.
|
E352932
|
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: Borås | Statement: [Västra Götaland County, contains, Borås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borås Context triple: [Västra Götaland County, contains, Borås]
-
A.
Skövde
Skövde is a town in south-central Sweden that serves as a major military hub and training center for the Swedish Army.
-
B.
Norrköping
Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
-
C.
Sundsvall
Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
-
D.
Jönköping
Jönköping is a city in southern Sweden, located at the southern end of Lake Vättern and known as a regional commercial and logistical hub.
-
E.
Nyköping
Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
- 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: Borås Triple: [Västra Götaland County, contains, Borås]
Generated description
Borås is a Swedish city known for its textile industry heritage, design and fashion focus, and location in western Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borås Target entity description: Borås is a Swedish city known for its textile industry heritage, design and fashion focus, and location in western Sweden.
-
A.
Skövde
Skövde is a town in south-central Sweden that serves as a major military hub and training center for the Swedish Army.
-
B.
Norrköping
Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
-
C.
Sundsvall
Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
-
D.
Jönköping
Jönköping is a city in southern Sweden, located at the southern end of Lake Vättern and known as a regional commercial and logistical hub.
-
E.
Nyköping
Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3340d5224819086e66d66e136e666 |
completed | March 12, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69b33490868081909246473f06776846 |
completed | March 12, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b334f8e704819098cb57aac79a8d0a |
completed | March 12, 2026, 9:49 p.m. |
Created at: March 8, 2026, 3:05 p.m.