Triple
T13634195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pétange |
E325804
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Rodange |
E947157
|
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: Rodange | Statement: [Pétange, containsSettlement, Rodange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodange Context triple: [Pétange, containsSettlement, Rodange]
-
A.
Rodange
chosen
Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
-
B.
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
C.
Roero
Roero is a hilly wine-producing area in Italy’s Piedmont region, renowned for its aromatic white Arneis and elegant Nebbiolo-based reds.
-
D.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
E.
Clervaux
Clervaux is a small town and commune in northern Luxembourg known for its historic castle and picturesque Ardennes setting.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a490508190924ac40f1dd519d6 |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc315ff848190a6c8cbd5b90db7fc |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 9:51 p.m.