Triple
T5588660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heby Municipality |
E146820
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Östervåla
Östervåla is a locality in central Sweden that serves as one of the settlements within Heby Municipality in Uppsala County.
|
E540562
|
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: Östervåla | Statement: [Heby Municipality, hasSettlement, Östervåla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Östervåla Context triple: [Heby Municipality, hasSettlement, Östervåla]
-
A.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
B.
Vänersborg
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
-
C.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
D.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
E.
Östhammar
Östhammar is a small coastal town and municipality in eastern Sweden known for its archipelago, historic wooden buildings, and proximity to the Forsmark nuclear power plant.
- 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: Östervåla Triple: [Heby Municipality, hasSettlement, Östervåla]
Generated description
Östervåla is a locality in central Sweden that serves as one of the settlements within Heby Municipality in Uppsala County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Östervåla Target entity description: Östervåla is a locality in central Sweden that serves as one of the settlements within Heby Municipality in Uppsala County.
-
A.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
B.
Vänersborg
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
-
C.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
D.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
E.
Östhammar
Östhammar is a small coastal town and municipality in eastern Sweden known for its archipelago, historic wooden buildings, and proximity to the Forsmark nuclear power plant.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209e892c8190b936a05ef2a14d36 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059fc908c819087eb9b81fedffb4f |
completed | March 22, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69c05bb6a334819094cff84f16f5285c |
completed | March 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c7a03948190b38e2dfcb04fd93e |
completed | March 22, 2026, 9:17 p.m. |
Created at: March 22, 2026, 3:38 p.m.