Triple
T18413819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Municipality |
E441834
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Järnboås
Järnboås is a small locality in central Sweden, situated in Örebro County within Nora Municipality, known for its rural character and forested surroundings.
|
E1322811
|
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: Järnboås | Statement: [Nora Municipality, contains, Järnboås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Järnboås Context triple: [Nora Municipality, contains, Järnboås]
-
A.
Järbo
Järbo is a locality in Gävleborg County, Sweden, known as a small community within the Sandviken area.
-
B.
Tärnsjö
Tärnsjö is a small locality in central Sweden known for its rural setting and traditional leather tanning industry.
-
C.
Nässjö
Nässjö is a small Swedish town in Jönköping County known as a regional railway hub and service center in southern Sweden.
-
D.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
E.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
- 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: Järnboås Triple: [Nora Municipality, contains, Järnboås]
Generated description
Järnboås is a small locality in central Sweden, situated in Örebro County within Nora Municipality, known for its rural character and forested surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Järnboås Target entity description: Järnboås is a small locality in central Sweden, situated in Örebro County within Nora Municipality, known for its rural character and forested surroundings.
-
A.
Järbo
Järbo is a locality in Gävleborg County, Sweden, known as a small community within the Sandviken area.
-
B.
Tärnsjö
Tärnsjö is a small locality in central Sweden known for its rural setting and traditional leather tanning industry.
-
C.
Nässjö
Nässjö is a small Swedish town in Jönköping County known as a regional railway hub and service center in southern Sweden.
-
D.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
E.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24be008819083d4ab019e8c66a6 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e7a576b881908267669e3ed394cf |
completed | May 13, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e8046c188190b860addd21ee8346 |
completed | May 13, 2026, 2:55 a.m. |
Created at: April 10, 2026, 10:47 a.m.