Triple
T21510040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trosa |
E530692
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Trosaån |
—
|
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: Trosaån | Statement: [Trosa, locatedOn, Trosaån]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trosaån Context triple: [Trosa, locatedOn, Trosaån]
-
A.
Trosaån
chosen
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.
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.
-
C.
Eskilstunaån
Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
-
D.
Köpingsån
Köpingsån is a river in central Sweden that flows through the town of Köping before emptying into Lake Mälaren.
-
E.
Munksjöån
Munksjöån is a river in Jönköping, Sweden, that drains Lake Munksjön and flows toward Lake Vättern through the city.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.