Triple
T1186234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upplands-Bro Municipality |
E25253
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Kungsängen
Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
|
E149968
|
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: Kungsängen | Statement: [Upplands-Bro Municipality, seat, Kungsängen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kungsängen Context triple: [Upplands-Bro Municipality, seat, Kungsängen]
-
A.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
B.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
C.
Rosersberg
Rosersberg is a locality in Stockholm County, Sweden, known for its historic Rosersberg Palace and its location near Stockholm Arlanda Airport.
-
D.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
E.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
- 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: Kungsängen Triple: [Upplands-Bro Municipality, seat, Kungsängen]
Generated description
Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kungsängen Target entity description: Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
-
A.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
B.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
C.
Rosersberg
Rosersberg is a locality in Stockholm County, Sweden, known for its historic Rosersberg Palace and its location near Stockholm Arlanda Airport.
-
D.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
E.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbadb9758819097fd03d59ad95367 |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb7f877081909fad30dac9254a34 |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbbdbab04819087b42477acbbb5f4 |
completed | March 7, 2026, 11:59 p.m. |
Created at: March 1, 2026, 7:45 p.m.