Triple
T14987610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjell |
E373744
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Kjelle |
E373744
|
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: Kjelle | Statement: [Kjell, hasShortForm, Kjelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kjelle Context triple: [Kjell, hasShortForm, Kjelle]
-
A.
Kjell
chosen
Kjell is a Scandinavian male given name, particularly common in Sweden and Norway.
-
B.
Kvam
Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
-
C.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
-
D.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
E.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7007588819095bb1de029a6f2eb |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8c036bfc8190b01bf2128403f557 |
completed | May 9, 2026, 1:21 a.m. |
Created at: April 10, 2026, 2:53 a.m.