Triple
T14951073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weimarer Land |
E372793
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Saalfeld-Rudolstadt |
E873650
|
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: Saalfeld-Rudolstadt | Statement: [Weimarer Land, bordersWith, Saalfeld-Rudolstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saalfeld-Rudolstadt Context triple: [Weimarer Land, bordersWith, Saalfeld-Rudolstadt]
-
A.
Saalfeld
Saalfeld is a town in the German state of Thuringia, known for its historic old town and former significance as a regional railway and industrial center.
-
B.
Rudolstadt
Rudolstadt is a historic town in the German state of Thuringia, known for its picturesque old town, Heidecksburg Castle, and cultural festivals.
-
C.
Sondershausen
Sondershausen is a small town in the German state of Thuringia, known for its historic castle, former role as a princely residence, and long tradition of mining and music.
-
D.
Saalfeld-Rudolstadt district
chosen
Saalfeld-Rudolstadt district is an administrative district in the state of Thuringia, Germany, known for its historic towns and location in the Thuringian Forest region.
-
E.
Harzgerode
Harzgerode is a small historic town in the eastern Harz Mountains of central Germany, known for its mining heritage and surrounding forested landscapes.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3aeb59c8190a39ccb4df7815ed0 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 10, 2026, 2:39 a.m.