Triple
T13018119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KU Leuven Kulak campus |
E322605
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kortrijk |
E168511
|
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: Kortrijk | Statement: [KU Leuven Kulak campus, locatedIn, Kortrijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kortrijk Context triple: [KU Leuven Kulak campus, locatedIn, Kortrijk]
-
A.
Kortrijk
chosen
Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
-
B.
Zottegem
Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
-
C.
Aalst
Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
-
D.
Mechelen
Mechelen is a historic city in the Flemish region of Belgium, known for its rich architectural heritage, medieval center, and prominent role in the Low Countries’ political and religious history.
-
E.
Ghent
Ghent is a small unincorporated community and ski-area destination located in Raleigh County, West Virginia, United States.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941e0560819080eee43a9ed0e1bb |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 8:51 p.m.