Triple
T22565460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doldersum |
E557936
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Vledder |
—
|
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: Vledder | Statement: [Doldersum, hasNearbySettlement, Vledder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vledder Context triple: [Doldersum, hasNearbySettlement, Vledder]
-
A.
Vledder
chosen
Vledder is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Westerveld.
-
B.
Vitlycke
Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
-
C.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
D.
Vellberg
Vellberg is a small historic town in the German state of Baden-Württemberg, known for its well-preserved medieval architecture and picturesque setting.
-
E.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa9ebc8819098d74fb41e14bd7e |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.