Triple
T11403105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dvůr Králové nad Labem |
E270164
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Bornheim |
E96240
|
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: Bornheim | Statement: [Dvůr Králové nad Labem, twinTown, Bornheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bornheim Context triple: [Dvůr Králové nad Labem, twinTown, Bornheim]
-
A.
Bornheim
chosen
Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
-
B.
Budenheim
Budenheim is a municipality in the German state of Rhineland-Palatinate, located near Mainz along the Rhine River.
-
C.
Benkheim
Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Ovenhausen
Ovenhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014ab46881909fa1d425926c617b |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d244870819091e8331eb3bd792d |
completed | April 20, 2026, 2:19 a.m. |
Created at: April 8, 2026, 9:34 p.m.