Triple
T21362087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsukuba |
E526806
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Wallonia |
—
|
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: Wallonia | Statement: [Tsukuba, hasSisterCity, Wallonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallonia Context triple: [Tsukuba, hasSisterCity, Wallonia]
-
A.
Wallonia
chosen
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.
-
B.
Flemish Region
The Flemish Region is the Dutch-speaking northern part of Belgium, known for its dense urban centers, strong economy, and distinct cultural identity within the Belgian federation.
-
C.
Flemish Brabant
Flemish Brabant is a central Belgian province in the Flanders region, known for its mix of historic towns, rural landscapes, and proximity to Brussels.
-
D.
Western Belgium
Western Belgium is a region along the North Sea encompassing parts of Flanders, historically known for the World War I battlefields and memorials of Flanders Fields.
-
E.
Wallem
Wallem is a surname most notably associated with American actor and writer Stephen Wallem.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06b219c81908f7674ae459e7931 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.