Triple
T3874825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnsberg region |
E92473
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Giessen region |
E109575
|
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: Giessen region | Statement: [Arnsberg region, borderedBy, Giessen region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giessen region Context triple: [Arnsberg region, borderedBy, Giessen region]
-
A.
Schweinfurt region
The Schweinfurt region is an area in northern Bavaria, Germany, centered around the city of Schweinfurt and known for its Franconian cultural and historical heritage.
-
B.
Ansbach region
The Ansbach region is an area in the German state of Bavaria, historically part of Franconia and known for its distinct East Franconian dialect and cultural heritage.
-
C.
South Hesse
South Hesse is a region in the southern part of the German state of Hesse that includes major urban and economic centers such as Darmstadt and the Rhine-Main area.
-
D.
Northern Hesse region
The Northern Hesse region is a historical area in central Germany that once formed part of the territorial domain of the Prince of Waldeck.
-
E.
Middle Hesse
chosen
Middle Hesse is a central region of the German state of Hesse known for its mix of historic university towns, industrial centers, and rural 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec59bea08190b1e193f34944a2ee |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c87214881908e03f5c770c58713 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.