Triple
T8797350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberursel (Taunus) |
E209321
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Friedrichsdorf |
E263386
|
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: Friedrichsdorf | Statement: [Oberursel (Taunus), borderedBy, Friedrichsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedrichsdorf Context triple: [Oberursel (Taunus), borderedBy, Friedrichsdorf]
-
A.
Friedrichsdorf
chosen
Friedrichsdorf is a town in the German state of Hesse, located north of Frankfurt and known historically for its Huguenot heritage and proximity to the Taunus mountains.
-
B.
Degendorf
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
-
C.
Ruppersdorf
Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
-
D.
Rahnsdorf
Rahnsdorf is a lakeside locality in eastern Berlin, Germany, known for its village-like character, forests, and waterfront along the Müggelsee and nearby waterways.
-
E.
Hennigsdorf
Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa370d08190885ef65e3a3e56d3 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017060fd08190bd053f988bd74048 |
completed | April 3, 2026, 7:37 p.m. |
Created at: March 30, 2026, 6:44 p.m.