Triple
T19438436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merelbeke |
E486284
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Melle |
—
|
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: Melle | Statement: [Merelbeke, hasNeighbouringMunicipality, Melle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melle Context triple: [Merelbeke, hasNeighbouringMunicipality, Melle]
-
A.
Melle
Melle is a town in the German state of North Rhine-Westphalia, known for its location in the Osnabrück district and its mix of industrial and rural character.
-
B.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
-
C.
Melle
chosen
Melle is a municipality in the Belgian province of East Flanders, known for its historic town center and proximity to the city of Ghent.
-
D.
Mellé
Mellé is a French surname most notably borne by Gil Mellé, an American jazz musician and film and television composer.
-
E.
Morangis
Morangis is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336281b88190b1e5ad2606d7c314 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.