Triple
T287905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open VLD |
E5925
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Flanders |
E21312
|
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: Flanders | Statement: [Open VLD, region, Flanders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flanders Context triple: [Open VLD, region, Flanders]
-
A.
Flanders
chosen
Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
-
B.
Wallonia
Wallonia is the predominantly French-speaking southern region of Belgium, known for its industrial heritage, cultural distinctiveness, and political autonomy within the Belgian federal state.
-
C.
West Flanders
West Flanders is a coastal province in the northwest of Belgium known for its historic towns, North Sea shoreline, and role in World War I.
-
D.
Friesland
Friesland is a northern province of the Netherlands known for its distinct Frisian language, rich maritime history, and unique cultural traditions.
-
E.
Belgium
Belgium is a Western European country known for its role as a founding member of major international organizations, including NATO and the European Union, and for hosting many of their key institutions.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2f5c0081908e548b314f5e986d |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ab9e277c81909b75bbeaa6c818a2 |
completed | March 1, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.