Triple
T14401214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Saxon dialect continuum |
E357073
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Veluws |
E86538
|
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: Veluws | Statement: [Low Saxon dialect continuum, hasPart, Veluws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veluws Context triple: [Low Saxon dialect continuum, hasPart, Veluws]
-
A.
Veluws
chosen
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
B.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
C.
Alvier
Alvier is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its scenic hiking routes and panoramic views.
-
D.
Havu
Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
-
E.
Poulus
Poulus is a personal name variant derived from the given name Poul.
- 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.