Triple
T12877821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipzig metropolitan region |
E308012
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Uichteritz |
E783130
|
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: Uichteritz | Statement: [Leipzig metropolitan region, containsCity, Uichteritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uichteritz Context triple: [Leipzig metropolitan region, containsCity, Uichteritz]
-
A.
Uichteritz
chosen
Uichteritz is a small municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
-
B.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
C.
Bochsa
Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
-
D.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
E.
Irschenberg
Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55393a88190a88c9357a6db5aec |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:38 p.m.