Triple
T20536036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romsdalen |
E504200
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Rauma |
E494776
|
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: Rauma | Statement: [Romsdalen, hasRiver, Rauma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rauma Context triple: [Romsdalen, hasRiver, Rauma]
-
A.
Rauma
Rauma is a coastal town in western Finland known for its well-preserved wooden Old Town, a UNESCO World Heritage Site, and its maritime and industrial heritage.
-
B.
Rauma
chosen
Rauma is a municipality in western Norway known for its dramatic fjord and mountain landscapes, including the Romsdalen valley and Trollveggen cliff.
-
C.
Savukoski
Savukoski is a sparsely populated municipality in Finnish Lapland known for its vast wilderness areas and traditional reindeer herding culture.
-
D.
Rieste
Rieste is a small municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
E.
Mummela
Mummela is the traditional troupe of performers in the South Indian folk theatre form Yakshagana, responsible for enacting its mythological dance-drama narratives.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06ed3088190bd01a95672b01ad6 |
completed | April 20, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acd38254819083f2afd27675d7a6 |
completed | May 16, 2026, 5:43 p.m. |
Created at: April 16, 2026, 11:37 a.m.