Triple
T7541548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gästrikland |
E178285
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Gavleån
Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
|
E672786
|
NE FINISHED |
How this triple was built (4 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: [Gästrikland, hasRiver, Gavleån]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavleån Context triple: [Gästrikland, hasRiver, Gavleån]
-
A.
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.
-
B.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
C.
Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
D.
Drammenselva
Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
-
E.
Lierelva
Lierelva is a river in Norway that flows through Lier municipality before joining the larger Drammenselva river.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gavleån Triple: [Gästrikland, hasRiver, Gavleån]
Generated description
Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gavleån Target entity description: Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
-
A.
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.
-
B.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
C.
Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
D.
Drammenselva
Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
-
E.
Lierelva
Lierelva is a river in Norway that flows through Lier municipality before joining the larger Drammenselva river.
- F. None of above. chosen
Provenance (5 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8750f80819088ddfb7a5580b5df |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b93188819080c769a2a1b122f4 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c857738e6881908abfce108d71efc0 |
completed | March 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c857e4a0408190b395389c6221e259 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:48 p.m.