Triple
T22752285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molenbeek-Saint-Jean |
E562733
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Jette |
—
|
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: Jette | Statement: [Molenbeek-Saint-Jean, hasNeighbour, Jette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jette Context triple: [Molenbeek-Saint-Jean, hasNeighbour, Jette]
-
A.
Jette
chosen
Jette is a municipality in the Brussels-Capital Region of Belgium, known for its residential character and educational institutions, including the Jette campus.
-
B.
Ottensen
Ottensen is a vibrant, historically working-class district in Hamburg, Germany, known for its lively cultural scene, cafes, and renovated old industrial and residential buildings.
-
C.
Jerslev
Jerslev is a small town in the Vendsyssel region of northern Denmark.
-
D.
Gilleleje
Gilleleje is a coastal town and fishing port in northern Zealand, Denmark, known for its harbor, beaches, and maritime heritage.
-
E.
Eskelunden
Eskelunden is a large outdoor area in Aarhus, Denmark, used as the main site for major events and music festivals.
- 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_69f179baa85881909140f41f2428cc98 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.