Triple
T7770544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gävle |
E179056
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Gavleån |
E672786
|
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: Gavleån | Statement: [Gävle, hasRiver, Gavleån]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavleån Context triple: [Gävle, hasRiver, Gavleån]
-
A.
Gavleån
chosen
Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
-
B.
Trosaån
Trosaån is a small river in eastern Sweden that flows through the town of Trosa and into the Baltic Sea, known for its scenic, tranquil character.
-
C.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
D.
Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
E.
Drammenselva
Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70438ca2481909114b0c434717109 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8deb3f1008190b3e64f202df421b2 |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 4:11 p.m.