Triple
T14401208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Saxon dialect continuum |
E357073
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gronings |
E411393
|
NE FINISHED |
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: Gronings | Statement: [Low Saxon dialect continuum, hasPart, Gronings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gronings Context triple: [Low Saxon dialect continuum, hasPart, Gronings]
-
A.
Gronings
chosen
Gronings is a Low Saxon dialect spoken in the province of Groningen in the Netherlands, known for its distinct phonology and vocabulary within the Dutch Low Saxon language group.
-
B.
Greven
Greven is a town in the Münsterland region of North Rhine-Westphalia in western Germany, known for its proximity to Münster and its role as a local economic and transport hub.
-
C.
Voskuijl
Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
-
D.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
E.
Huijgen
Huijgen is a Dutch surname that is a historical and orthographic variant of the name Huygens.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908500048190bb6a20fe318d5c62 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5520c07c8190bfdaf224dd779ced |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.