Triple
T23020788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunssum |
E573155
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Geilenkirchen |
—
|
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: Geilenkirchen | Statement: [Brunssum, hasTwinTown, Geilenkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geilenkirchen Context triple: [Brunssum, hasTwinTown, Geilenkirchen]
-
A.
Geilenkirchen
chosen
Geilenkirchen is a town in western Germany best known for hosting a major NATO airbase that serves as the main hub for the alliance’s Airborne Early Warning and Control (AWACS) operations.
-
B.
Niederkirchen
Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
-
C.
Kaldenkirchen
Kaldenkirchen is a town in western Germany near the Dutch border, known as a key cross-border transport point with direct access to major motorway routes.
-
D.
Kneblinghausen
Kneblinghausen is a village and district (Ortsteil) of the town of Rüthen in the Soest district of North Rhine-Westphalia, Germany.
-
E.
Dietzenbach
Dietzenbach is a town in the state of Hesse in central Germany, located near Frankfurt am Main.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e8324c81908b8868d298af66e1 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.