Triple
T12429064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stannern |
E296976
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Stannern |
E296976
|
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: Stannern | Statement: [Stannern, hasGermanName, Stannern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stannern Context triple: [Stannern, hasGermanName, Stannern]
-
A.
Stannern
chosen
Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
-
B.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
C.
Radenthein
Radenthein is a small town in the Austrian state of Carinthia, known for its alpine setting and history of magnesite mining.
-
D.
Pottenstein
Pottenstein is a small town in Lower Austria known for its scenic surroundings and traditional Austrian character.
-
E.
Stupava
Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ddc688190bddb242d67fa6e89 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9aaf9c819098e8f8ba40c73363 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:55 p.m.