Triple
T15687444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürstenberg/Havel |
E380238
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Fürstenberg |
E1082559
|
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: Fürstenberg | Statement: [Fürstenberg/Havel, hasSubdivision, Fürstenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fürstenberg Context triple: [Fürstenberg/Havel, hasSubdivision, Fürstenberg]
-
A.
Fürstenberg
chosen
Fürstenberg is a noble German family name historically associated with a prominent princely house and various territories in Central Europe.
-
B.
Pringsheim
Pringsheim is a German-Jewish family name historically associated with a prominent bourgeois and intellectual family in 19th- and early 20th-century Germany.
-
C.
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
D.
Fürstenau
Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
E.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.