Triple
T20827164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brombachsee |
E512732
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Absberg |
—
|
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: Absberg | Statement: [Brombachsee, locatedNear, Absberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Absberg Context triple: [Brombachsee, locatedNear, Absberg]
-
A.
Absberg
chosen
Absberg is a small municipality in the Franconian Lake District of Bavaria, Germany, known for its scenic location near Lake Brombach.
-
B.
Abrahamsberg
Abrahamsberg is a residential district in western Stockholm, Sweden, known for its 1930s–1940s functionalist architecture and location within the Bromma borough.
-
C.
Ausserberg
Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
-
D.
Lossberg
Lossberg is a German surname most notably associated with the military strategist Fritz von Lossberg of the Imperial German Army during World War I.
-
E.
Abstatt
Abstatt is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing surroundings.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fe54608190a061274bf4316610 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.