Triple
T18413688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppsala old cemetery |
E441830
|
entity |
| Predicate | hasNotableBurials |
P3803
|
FINISHED |
| Object | Torgny Segerstedt |
—
|
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: Torgny Segerstedt | Statement: [Uppsala old cemetery, hasNotableBurials, Torgny Segerstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torgny Segerstedt Context triple: [Uppsala old cemetery, hasNotableBurials, Torgny Segerstedt]
-
A.
Torgny Segerstedt
chosen
Torgny Segerstedt was a Swedish philosopher and academic leader best known for serving as rector of Uppsala University and for his influence on higher education in Sweden.
-
B.
Göran Månsson
Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
-
C.
Göran Lennmarker
Göran Lennmarker is a Swedish politician known for his long service in the Riksdag and his work on foreign affairs and security policy.
-
D.
Göran Sonnevi
Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
-
E.
Göran Malmqvist
Göran Malmqvist was a Swedish sinologist, literary historian, translator, and member of the Swedish Academy known for his influential work on Chinese language and literature.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a259c1c819094e710bb4a7ace75 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.