Triple
T15946861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetzlar |
E386707
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Giessen region |
E483605
|
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: [Wetzlar, locatedIn, Giessen region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giessen region Context triple: [Wetzlar, locatedIn, Giessen region]
-
A.
Kassel region
The Kassel region is an administrative district in the German state of Hesse, centered on the city of Kassel and encompassing surrounding rural areas.
-
B.
Giessen district
chosen
Giessen district is an administrative district in the German state of Hesse, centered around the city of Gießen and known for its mix of urban areas, universities, and rural landscapes.
-
C.
Wetterau region
The Wetterau region is a fertile, historically significant area in central Hesse, Germany, known for its agriculture and dense concentration of medieval towns and castles.
-
D.
Giessenlanden
Giessenlanden was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
E.
Hesse region
Hesse region is a federal state in central-western Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf14ab088190b1d2f1f6b18bf85d |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:53 a.m.