Triple
T21034565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfhagen |
E518155
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Habichtswald |
—
|
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: Habichtswald | Statement: [Wolfhagen, hasNearbyFeature, Habichtswald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Habichtswald Context triple: [Wolfhagen, hasNearbyFeature, Habichtswald]
-
A.
Habichtswald
chosen
Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
-
B.
Knüllwald
Knüllwald is a municipality in central Germany known for its rural character and forested landscapes within the state of Hesse.
-
C.
Sachsenwald
Sachsenwald is a large forested area in northern Germany, east of Hamburg, known as one of the region’s most extensive and historically significant woodlands.
-
D.
Neckarauer Wald
Neckarauer Wald is a forested area and local recreational green space in the Mannheim district of Neckarau in southwestern Germany.
-
E.
Hönigswald
Hönigswald is a German surname most notably associated with the philosopher Richard Hönigswald, a key figure in neo-Kantian thought.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc84b4ac8190bcee5fbba730b499 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:01 p.m.