Triple
T22748748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamme |
E562631
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Waasmunster |
—
|
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: Waasmunster | Statement: [Hamme, borderedBy, Waasmunster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waasmunster Context triple: [Hamme, borderedBy, Waasmunster]
-
A.
Waasmunster
chosen
Waasmunster is a municipality in East Flanders, Belgium, known for its green, semi-rural character and location between Ghent and Antwerp.
-
B.
Ravensburg
Ravensburg is a historic town in southern Germany’s Baden-Württemberg state, known for its well-preserved medieval old town and as the namesake of the Ravensburger game and puzzle company.
-
C.
Hüniken
Hüniken is a small rural municipality in the canton of Solothurn in northern Switzerland.
-
D.
Hintonburg
Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
-
E.
Fontanestadt
Fontanestadt is the honorary nickname of the German town Neuruppin, referencing its association with the writer Theodor Fontane.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b822988190b5368ac1f4e1d70a |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.