Triple
T12576521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eupen |
E300219
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Chaudfontaine |
E301964
|
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: Chaudfontaine | Statement: [Eupen, twinnedWith, Chaudfontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaudfontaine Context triple: [Eupen, twinnedWith, Chaudfontaine]
-
A.
Chaudfontaine
chosen
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
-
B.
Lannesdorf
Lannesdorf is a residential subdistrict of the Bad Godesberg borough in the city of Bonn, Germany.
-
C.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
D.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
-
E.
Escherange
Escherange is a small French commune in the Moselle department of northeastern France, near the border with Luxembourg.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d8b8d081908f271e75e6472914 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 4:47 p.m.