Triple
T21785106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heers |
E537814
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Waremme |
—
|
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: Waremme | Statement: [Heers, borderedBy, Waremme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waremme Context triple: [Heers, borderedBy, Waremme]
-
A.
Waremme
chosen
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
-
B.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
C.
Warme Bode
Warme Bode is a river in the Harz Mountains of central Germany, known for flowing through forested valleys and feeding into the Bode river system.
-
D.
Wamme
The Wamme is a river in the Wallonia region of Belgium that flows through the town of Marche-en-Famenne.
-
E.
Wennemen
Wennemen is a village and district of the town of Meschede in North Rhine-Westphalia, Germany.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.