Triple
T20668403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goitzsche lake |
E507951
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Schortewitz |
—
|
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: Schortewitz | Statement: [Goitzsche lake, hasNearbyVillage, Schortewitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schortewitz Context triple: [Goitzsche lake, hasNearbyVillage, Schortewitz]
-
A.
Hirschbiegel
Hirschbiegel is a German surname most notably associated with film director Oliver Hirschbiegel, known for works such as "Downfall."
-
B.
Leisewitz
Leisewitz is a German surname most notably associated with Johann Anton Leisewitz, an 18th-century writer of the Sturm und Drang movement.
-
C.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
D.
Hirschstein
chosen
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
-
E.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.