Triple
T6415769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Namur |
E127822
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UNamur |
E107798
|
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: UNamur | Statement: [University of Namur, shortName, UNamur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNamur Context triple: [University of Namur, shortName, UNamur]
-
A.
Valenciennes
Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
-
B.
Maubeuge
Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
-
C.
Pont-à-Mousson
Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
-
D.
Remich
Remich is a small Luxembourgish town renowned for its picturesque vineyards, wine production, and scenic location along the Moselle River near the German border.
-
E.
Namur
chosen
Namur is a historic Belgian city and the capital of Wallonia, located at the confluence of the Meuse and Sambre rivers.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e89c2c81909eeedc234e8ccde2 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640caaed881908ff9863b1b792ebc |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:42 p.m.