Triple
T12877920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipzig metropolitan region |
E308012
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Rossau |
E709516
|
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: Rossau | Statement: [Leipzig metropolitan region, containsCity, Rossau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossau Context triple: [Leipzig metropolitan region, containsCity, Rossau]
-
A.
Rossau
chosen
Rossau is a municipality in the German state of Saxony, located within the rural district of Mittelsachsen.
-
B.
Rossosh
Rossosh is a town in Voronezh Oblast, Russia, known as a regional center in the country’s southwest.
-
C.
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
D.
Brunau
Brunau is a small river in Lower Saxony, Germany, known as one of the tributaries feeding into the Örtze.
-
E.
Roderesch
Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
- 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_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:38 p.m.