Triple
T20277345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town of Luxembourg City |
E503049
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Clausen quarter |
—
|
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: Clausen quarter | Statement: [Old Town of Luxembourg City, hasPart, Clausen quarter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clausen quarter Context triple: [Old Town of Luxembourg City, hasPart, Clausen quarter]
-
A.
Clausen
chosen
Clausen is a historic quarter of Luxembourg City known for its nightlife, old breweries, and picturesque setting along the Alzette River.
-
B.
Bundsgaard
Bundsgaard is a Danish surname most notably associated with Jacob Bundsgaard, the mayor of Aarhus, Denmark.
-
C.
Viertel
Viertel is a German-language surname borne by various notable individuals in the arts and literature.
-
D.
Quarten
Quarten is a Swiss municipality in the canton of St. Gallen, known for its location on the shores of Lake Walen and its proximity to the Flumserberg ski and hiking area.
-
E.
Knudshoved
Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e4cdfc81908c7cb4519a7d744b |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:35 a.m.