Triple
T17991543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasserkuppe |
E430384
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gersfeld |
—
|
NE NERFINISHED |
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: Gersfeld | Statement: [Wasserkuppe, near, Gersfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gersfeld Context triple: [Wasserkuppe, near, Gersfeld]
-
A.
Gersfeld
chosen
Gersfeld is a small German town in the state of Hesse, known as a gateway to the Rhön Mountains and a base for outdoor activities like hiking and winter sports.
-
B.
Grezhausen
Grezhausen is a village-level subdivision of the town of Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
-
C.
Delitzsch
Delitzsch is a historic town in the German state of Saxony, known for its well-preserved medieval center and regional administrative role.
-
D.
Euerbach
Euerbach is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
E.
Grotenberge
Grotenberge is a village in East Flanders, Belgium, that forms part of the municipality of Zottegem.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29fd7648190b7f09ea60c7b96a8 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.