Triple
T20581882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lys (Leie) |
E505676
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Leie |
—
|
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: Leie | Statement: [Lys (Leie), hasNameInDutch, Leie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leie Context triple: [Lys (Leie), hasNameInDutch, Leie]
-
A.
Leie
chosen
Leie is a river in Western Europe that flows through France and Belgium, including the Ghent suburb of Drongen, and is known for its scenic landscapes and historical significance in the region.
-
B.
Seilebost
Seilebost is a small, scenic village on the Isle of Harris in Scotland’s Outer Hebrides, known for its white-sand beaches and views over turquoise waters.
-
C.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
D.
Lilleaker
Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
-
E.
Sylte
Sylte is a small village in the former Fræna municipality in Møre og Romsdal county, Norway.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90f7e34819086b1745dcd53ba25 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:40 a.m.