Triple
T19335256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessen district |
E483605
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Grünberg |
—
|
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: Grünberg | Statement: [Giessen district, contains, Grünberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grünberg Context triple: [Giessen district, contains, Grünberg]
-
A.
Grünberg
chosen
Grünberg is a small German town in the state of Hesse, known for its historic half-timbered old town and traditional regional festivals.
-
B.
Grüneberg
Grüneberg is a locality in Germany historically known as the site of the Battle of Grüneberg.
-
C.
Genberg
Genberg is a Swedish surname most notably associated with individuals such as Hjördis Genberg, a mid-20th-century Swedish model and actress.
-
D.
Eigenberg
Eigenberg is a surname most notably associated with American actor David Eigenberg, known for his role as Steve Brady on the television series "Sex and the City."
-
E.
Kurzberg
Kurzberg is a surname of German origin, likely derived from geographic or topographic roots.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.