Triple
T10220326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appingedam |
E242557
|
entity |
| Predicate | regionalLanguage |
P237
|
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: [Appingedam, regionalLanguage, Gronings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gronings Context triple: [Appingedam, regionalLanguage, 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.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
D.
Gronau
Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
-
E.
Winschoten
Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a82c98fc8190929b7b56f9a6e60d |
completed | April 8, 2026, 7:10 p.m. |
Created at: April 6, 2026, 11:09 a.m.