Triple
T18326905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaelva |
E439032
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | Glomma at Rena |
E442490
|
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: Glomma at Rena | Statement: [Renaelva, flowsInto, Glomma at Rena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glomma at Rena Context triple: [Renaelva, flowsInto, Glomma at Rena]
-
A.
Glomma riverfront
Glomma riverfront is a scenic waterfront area in Fredrikstad known for its historic charm, walking paths, and vibrant riverside cafés and cultural life along Norway’s longest river.
-
B.
Ramsund
Ramsund is a small coastal village in northern Norway known for its maritime setting and proximity to the Tjeldsundet strait.
-
C.
Glåma
chosen
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
D.
Råna
Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
-
E.
Maridalen (partly)
Maridalen is a scenic valley and lake area on the northern outskirts of Oslo, known for its forests, hiking trails, and role as a key drinking water reservoir for the city.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aab3e7c81909b1c0a688707dfd6 |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4cc227481909497c0d13a8eb816 |
completed | May 13, 2026, 12:24 a.m. |
Created at: April 10, 2026, 10:36 a.m.