Triple
T8656627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torgny Lindgren |
E205435
|
entity |
| Predicate | place of birth |
P1
|
FINISHED |
| Object | Raggsjö |
E560704
|
NE FINISHED |
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: Raggsjö | Statement: [Torgny Lindgren, place of birth, Raggsjö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raggsjö Context triple: [Torgny Lindgren, place of birth, Raggsjö]
-
A.
Bergsjö
Bergsjö is a small locality in Gävleborg County, Sweden, serving as the administrative and service center for the surrounding rural area.
-
B.
Femsjö
chosen
Femsjö is a small locality in southern Sweden, historically notable as the birthplace of the influential mycologist Elias Magnus Fries.
-
C.
Nyköpingsån river
Nyköpingsån river is a watercourse in southeastern Sweden that flows through the town of Nyköping before emptying into the Baltic Sea.
-
D.
Hovsjö
Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
-
E.
Viksjöfors
Viksjöfors is a small rural locality in central Sweden known for its scenic surroundings and traditional village character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484569788190aa41395854684e6f |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecce40c248190b4f2b21a1ecde80b |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.