Triple
T10484012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schkopau |
E247245
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Saalekreis |
E713311
|
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: Saalekreis | Statement: [Schkopau, locatedIn, Saalekreis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saalekreis Context triple: [Schkopau, locatedIn, Saalekreis]
-
A.
Saalekreis
chosen
Saalekreis is a rural district in the German state of Saxony-Anhalt, located around the city of Halle (Saale).
-
B.
Saale-Holzland-Kreis
Saale-Holzland-Kreis is a rural district in the eastern German state of Thuringia, known for its scenic Saale River valley, historic towns, and mixed agricultural and forested landscapes.
-
C.
Saale-Orla-Kreis
Saale-Orla-Kreis is a rural district in the state of Thuringia in eastern Germany, known for its river valleys, rolling hills, and small historic towns.
-
D.
Lahn-Dill-Kreis
Lahn-Dill-Kreis is a rural district in the state of Hesse, Germany, known for its mix of industrial towns and scenic landscapes along the Lahn and Dill rivers.
-
E.
Ostalbkreis
Ostalbkreis is a rural district in the eastern part of Baden-Württemberg, Germany, known for its Swabian Alb landscapes and historic towns such as Aalen and Ellwangen.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e5749208190b37848f0945bd92d |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:22 p.m.