Triple
T20338351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philharmonia Hungarica |
E495673
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Marl, Germany |
—
|
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: Marl, Germany | Statement: [Philharmonia Hungarica, location, Marl, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marl, Germany Context triple: [Philharmonia Hungarica, location, Marl, Germany]
-
A.
Marl, Germany
chosen
Marl is a town in the North Rhine-Westphalia region of western Germany, known for its chemical industry and location in the Ruhr area.
-
B.
Brühl, Germany
Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
-
C.
Celle, Germany
Celle is a historic town in Lower Saxony, Germany, known for its well-preserved half-timbered old town and ducal palace.
-
D.
Lübbecke, Germany
Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
-
E.
Hamm, Germany
Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.