Triple
T22333681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viskan |
E552087
|
entity |
| Predicate | parallelTo |
P1868
|
FINISHED |
| Object | Ätran |
—
|
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: Ätran | Statement: [Viskan, parallelTo, Ätran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ätran Context triple: [Viskan, parallelTo, Ätran]
-
A.
Ätran
chosen
Ätran is a major river in southwestern Sweden that flows through the province of Halland to the Kattegat coast.
-
B.
Svedala
Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
-
C.
Andrott
Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
-
D.
Ägeri
Ägeri is a municipality in the canton of Zug in central Switzerland, known for its scenic Ägerisee (Lake Ägeri) and surrounding pre-Alpine landscape.
-
E.
Fisksätra
Fisksätra is a densely populated residential district and suburb of Stockholm, Sweden, known for its multicultural community and modern apartment blocks.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577cdcb08190a760e195c1051adb |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.