Triple
T3108721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esch-sur-Alzette |
E64897
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Esch an der Alzette |
E64897
|
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: Esch an der Alzette | Statement: [Esch-sur-Alzette, hasNameInGerman, Esch an der Alzette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esch an der Alzette Context triple: [Esch-sur-Alzette, hasNameInGerman, Esch an der Alzette]
-
A.
Esch-sur-Alzette
chosen
Esch-sur-Alzette is Luxembourg’s second-largest city, known as an important industrial and cultural center in the country’s south near the French border.
-
B.
Esch-sur-Sûre
Esch-sur-Sûre is a small historic town in northwestern Luxembourg, known for its medieval castle ruins and picturesque setting along a bend of the Sûre River.
-
C.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
D.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
E.
Diekirch
Diekirch is a town in northern Luxembourg known for its role in World War II, particularly during the country's liberation, and for its national military museum.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29eacc88190a19c5ca8e53e3dca |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e817b0d881909365a6bf5eb5104b |
completed | March 12, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:04 p.m.