Triple
T7482728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göran Persson |
E176800
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
|
E671798
|
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: Vingåker | Statement: [Göran Persson, placeOfBirth, Vingåker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vingåker Context triple: [Göran Persson, placeOfBirth, Vingåker]
-
A.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
B.
Vågå
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
-
C.
Häggvik
Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
-
D.
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.
-
E.
Grebbestad
Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
- 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: Vingåker Triple: [Göran Persson, placeOfBirth, Vingåker]
Generated description
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vingåker Target entity description: Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
A.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
B.
Vågå
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
-
C.
Häggvik
Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
-
D.
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.
-
E.
Grebbestad
Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5374bb08190bdf6ca72a3d0cd1c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84eed875c81908922057730834a84 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c850d3fe2081909490aea1bc09faa3 |
completed | March 28, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8512f548c8190b5120a58abefade7 |
completed | March 28, 2026, 10:07 p.m. |
Created at: March 27, 2026, 3:42 p.m.