Triple
T14680866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondercange |
E344778
|
entity |
| Predicate | hasNeighbouringCommune |
P33892
|
FINISHED |
| Object | Reckange-sur-Mess |
E1072537
|
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: Reckange-sur-Mess | Statement: [Mondercange, hasNeighbouringCommune, Reckange-sur-Mess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reckange-sur-Mess Context triple: [Mondercange, hasNeighbouringCommune, Reckange-sur-Mess]
-
A.
Reckange-sur-Mess
chosen
Reckange-sur-Mess is a small commune and village in southwestern Luxembourg, situated along the Mess River.
-
B.
Mondercange
Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
-
C.
Walferdange
Walferdange is a town and former commune in central Luxembourg, known for its proximity to Luxembourg City and its scenic location along the Alzette River.
-
D.
Bertrange
Bertrange is a commune in northeastern France located in the Moselle department within the Grand Est region.
-
E.
Bertrange
Bertrange is a suburban commune in south-central Luxembourg known for its residential areas, shopping facilities, and proximity to Luxembourg City.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde180ff0c8190a8b7c7804e36c3f8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.