Triple
T18059047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik Axel Karlfeldt |
E432118
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Folkärna |
—
|
NE NERFINISHED |
How this triple was built (2 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: Folkärna | Statement: [Erik Axel Karlfeldt, placeOfBirth, Folkärna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Folkärna Context triple: [Erik Axel Karlfeldt, placeOfBirth, Folkärna]
-
A.
Folkärna
chosen
Folkärna is a locality in Sweden known for its historic church and surrounding rural landscape.
-
B.
Kungsängen
Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
-
C.
Fruängen
Fruängen is a Stockholm metro station on the red line, serving as the terminus of one of its southern branches in the Fruängen district.
-
D.
Folkhemmet
Folkhemmet is a Swedish political vision of a socially cohesive "people’s home" that inspired the development of Sweden’s modern welfare state.
-
E.
Svenska hjärtan
Svenska hjärtan is a work by Swedish author Ola Larsmo, known for its exploration of contemporary Swedish society and human relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c1048c00819097c7dfbf76bb0987 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.