Triple
T20940057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broye Canal |
E515694
|
entity |
| Predicate | connectsRegion |
P845
|
FINISHED |
| Object | Seeland |
—
|
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: Seeland | Statement: [Broye Canal, connectsRegion, Seeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeland Context triple: [Broye Canal, connectsRegion, Seeland]
-
A.
Krautinsel
Krautinsel is a small, uninhabited island in Germany’s Chiemsee lake, historically used for agriculture and known for its tranquil natural setting.
-
B.
Seeland region
chosen
The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
-
C.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
-
D.
Ille
Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
-
E.
Madeo
Madeo is a 2009 South Korean thriller-drama film directed by Bong Joon-ho about a devoted mother who goes to extreme lengths to prove her son's innocence in a murder case.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.