Triple
T23158776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Freiberg |
E578521
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Brand-Erbisdorf |
—
|
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: Brand-Erbisdorf | Statement: [Kreis Freiberg, contains, Brand-Erbisdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brand-Erbisdorf Context triple: [Kreis Freiberg, contains, Brand-Erbisdorf]
-
A.
Brand-Erbisdorf
chosen
Brand-Erbisdorf is a small mining town in the Free State of Saxony in eastern Germany, historically known for its silver mining industry.
-
B.
Basdorf
Basdorf is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
C.
Augustdorf
Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
-
D.
Ernsdorf
Ernsdorf is a small locality in Germany known primarily as the birthplace of industrialist Friedrich Flick.
-
E.
Ebernburg
Ebernburg is a historic castle in Rhineland-Palatinate, Germany, known as a stronghold of the early Reformation and the seat of knight Franz von Sickingen.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efeddd48190b6d03d2146583dcc |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.