Triple
T14377384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Siljan |
E356508
|
entity |
| Predicate | hasShorelineSettlement |
P969
|
FINISHED |
| Object | Leksand |
E98202
|
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: Leksand | Statement: [Lake Siljan, hasShorelineSettlement, Leksand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leksand Context triple: [Lake Siljan, hasShorelineSettlement, Leksand]
-
A.
Leksand
chosen
Leksand is a small Swedish town in Dalarna County known for its traditional midsummer celebrations, picturesque lakeside setting, and strong ice hockey culture.
-
B.
Leksands IF
Leksands IF is a Swedish professional ice hockey club based in Leksand, known for its long history and passionate fan base in the country’s top leagues.
-
C.
Luleå HF
Luleå HF is a professional ice hockey club from Luleå, Sweden, competing in the country’s top-tier league and known for its strong fan base and competitive success.
-
D.
Skellefteå
Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
-
E.
Trollhättan
Trollhättan is a city in western Sweden known for its historic role in the automotive industry and as the longtime home of Saab Automobile’s main production facilities.
- 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.