Triple
T18735975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenberg |
E458163
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Schönbuch forest |
—
|
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: Schönbuch forest | Statement: [Herrenberg, locatedNear, Schönbuch forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönbuch forest Context triple: [Herrenberg, locatedNear, Schönbuch forest]
-
A.
Schönbuch forest
chosen
Schönbuch forest is a large protected woodland and nature park in Baden-Württemberg, Germany, known for its diverse wildlife, hiking trails, and recreational areas near the city of Stuttgart.
-
B.
Wermsdorf Forest
Wermsdorf Forest is a large woodland area in Saxony, Germany, known for its historic hunting grounds and scenic landscapes.
-
C.
Arnsberg Forest
Arnsberg Forest is a large wooded region in North Rhine-Westphalia, Germany, known for its extensive hiking trails, natural landscapes, and protected nature reserves.
-
D.
Harz forest
The Harz forest is a vast, mountainous woodland region in central Germany known for its dense spruce and beech forests, hiking trails, and rich folklore.
-
E.
Neckarauer Wald
Neckarauer Wald is a forested area and local recreational green space in the Mannheim district of Neckarau in southwestern Germany.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.