Triple
T22564823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasselte |
E557918
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gieten |
—
|
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: Gieten | Statement: [Gasselte, locatedNear, Gieten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gieten Context triple: [Gasselte, locatedNear, Gieten]
-
A.
Gieten
chosen
Gieten is a village in the Dutch province of Drenthe that serves as the main administrative and service hub for the surrounding rural municipality.
-
B.
Everdingen
Everdingen is a village in the Dutch province of Utrecht, known for its rural character and historic fortifications along the Lek River.
-
C.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
-
D.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
-
E.
Tienhoven
Tienhoven is a small village in the Dutch province of Utrecht, known for its rural landscape and location within the municipality of Stichtse Vecht.
- 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_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.