Triple
T14377386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Siljan |
E356508
|
entity |
| Predicate | hasShorelineSettlement |
P969
|
FINISHED |
| Object | Tällberg |
E1095955
|
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: Tällberg | Statement: [Lake Siljan, hasShorelineSettlement, Tällberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tällberg Context triple: [Lake Siljan, hasShorelineSettlement, Tällberg]
-
A.
Tällberg
chosen
Tällberg is a traditional Swedish village in the Dalarna region, known for its well-preserved wooden houses, scenic views, and tourism by Lake Siljan.
-
B.
Wästberg
Wästberg is a Swedish surname associated with notable figures in politics, literature, and public life.
-
C.
Östberg
Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
-
D.
Norlén
Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
-
E.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900949fc81909be0da1734c46645 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551002948190aeb93d245e1449a7 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.