Triple
T8954816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anklam |
E213445
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Svedala
Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
|
E768107
|
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: Svedala | Statement: [Anklam, twinnedWith, Svedala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svedala Context triple: [Anklam, twinnedWith, Svedala]
-
A.
Smögen
Smögen is a picturesque fishing village and popular seaside resort on Sweden’s west coast, known for its colorful wooden houses, lively harbor, and scenic granite cliffs.
-
B.
Jättendal
Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
-
C.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
D.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
E.
Kungsbacka
Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
- 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: Svedala Triple: [Anklam, twinnedWith, Svedala]
Generated description
Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Svedala Target entity description: Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
-
A.
Smögen
Smögen is a picturesque fishing village and popular seaside resort on Sweden’s west coast, known for its colorful wooden houses, lively harbor, and scenic granite cliffs.
-
B.
Jättendal
Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
-
C.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
D.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
E.
Kungsbacka
Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6724f3e4819092c6b13d80871e80 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc21405ac8190a7129c0877ef41b0 |
completed | April 3, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69cfc31798ec81908c200dd17be5e785 |
completed | April 3, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc44441208190a6b588c0609511fb |
completed | April 3, 2026, 1:44 p.m. |
Created at: March 30, 2026, 7 p.m.